jeo

安装量: 10.2K
排名: #254

安装

npx skills add https://github.com/supercent-io/skills-template --skill jeo

JEO — Integrated Agent Orchestration Keyword: jeo · annotate · UI검토 · agentui (deprecated) | Platforms: Claude Code · Codex CLI · Gemini CLI · OpenCode A unified skill providing fully automated orchestration flow: Plan (ralph+plannotator) → Execute (team/bmad) → UI Feedback (agentation/annotate) → Cleanup (worktree cleanup) 0. Agent Execution Protocol (follow immediately upon jeo keyword detection) The following are commands, not descriptions. Execute them in order. Each step only proceeds after the previous one completes. STEP 0: State File Bootstrap (required — always first) mkdir -p .omc/state .omc/plans .omc/logs If .omc/state/jeo-state.json does not exist, create it: { "phase" : "plan" , "task" : "<감지된 task>" , "plan_approved" : false , "plan_gate_status" : "pending" , "team_available" : null , "retry_count" : 0 , "last_error" : null , "checkpoint" : null , "created_at" : "" , "updated_at" : "" , "agentation" : { "active" : false , "session_id" : null , "keyword_used" : null , "started_at" : null , "timeout_seconds" : 120 , "annotations" : { "total" : 0 , "acknowledged" : 0 , "resolved" : 0 , "dismissed" : 0 , "pending" : 0 } , "completed_at" : null , "exit_reason" : null } } Notify the user: "JEO activated. Phase: PLAN. Add the annotate keyword if a UI feedback loop is needed." STEP 0.1: Error Recovery Protocol (applies to all STEPs) Checkpoint recording — immediately after entering each STEP:

Execute immediately at the start of each STEP (agent updates jeo-state.json directly)

python3

c " import json , datetime , os , subprocess , tempfile try : root = subprocess . check_output ( [ 'git' , 'rev-parse' , '--show-toplevel' ] , stderr = subprocess . DEVNULL ) . decode ( ) . strip ( ) except : root = os . getcwd ( ) f = os . path . join ( root , '.omc/state/jeo-state.json' ) if os . path . exists ( f ) : import fcntl with open ( f , 'r+' ) as fh : fcntl . flock ( fh , fcntl . LOCK_EX ) try : d = json . load ( fh ) d [ 'checkpoint' ] = ''

'plan'|'execute'|'verify'|'cleanup'

d [ 'updated_at' ] = datetime . datetime . utcnow ( ) . isoformat ( ) + 'Z' fh . seek ( 0 ) json . dump ( d , fh , ensure_ascii = False , indent = 2 ) fh . truncate ( ) finally : fcntl . flock ( fh , fcntl . LOCK_UN ) " 2

/ dev / null | | true last_error recording — on pre-flight failure or exception: python3 - c " import json , datetime , os , subprocess , fcntl try : root = subprocess . check_output ( [ 'git' , 'rev-parse' , '--show-toplevel' ] , stderr = subprocess . DEVNULL ) . decode ( ) . strip ( ) except : root = os . getcwd ( ) f = os . path . join ( root , '.omc/state/jeo-state.json' ) if os . path . exists ( f ) : with open ( f , 'r+' ) as fh : fcntl . flock ( fh , fcntl . LOCK_EX ) try : d = json . load ( fh ) d [ 'last_error' ] = '' d [ 'retry_count' ] = d . get ( 'retry_count' , 0 ) + 1 d [ 'updated_at' ] = datetime . datetime . utcnow ( ) . isoformat ( ) + 'Z' fh . seek ( 0 ) json . dump ( d , fh , ensure_ascii = False , indent = 2 ) fh . truncate ( ) finally : fcntl . flock ( fh , fcntl . LOCK_UN ) " 2

/ dev / null | | true Checkpoint-based resume on restart:

If jeo-state.json already exists, resume from checkpoint

python3

c "
import
json
,
os
,
subprocess
try
:
root
=
subprocess
.
check_output
(
[
'git'
,
'rev-parse'
,
'--show-toplevel'
]
,
stderr
=
subprocess
.
DEVNULL
)
.
decode
(
)
.
strip
(
)
except
:
root
=
os
.
getcwd
(
)
f
=
os
.
path
.
join
(
root
,
'.omc/state/jeo-state.json'
)
if
os
.
path
.
exists
(
f
)
:
d
=
json
.
load
(
open
(
f
)
)
cp
=
d
.
get
(
'checkpoint'
)
err
=
d
.
get
(
'last_error'
)
if
err
:
print
(
f'Previous error:
{
err
}
'
)
if
cp
:
print
(
f'Resuming from:
{
cp
}
'
)
"
2
>
/
dev
/
null
|
|
true
Rule
Before exit 1 in pre-flight, always update last_error and increment retry_count . If retry_count >= 3 , ask the user whether to abort. STEP 1: PLAN (never skip) Pre-flight (required before entering):

Record checkpoint

python3 -c " import json,datetime,os,subprocess,fcntl,tempfile try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d.update({'checkpoint':'plan','updated_at':datetime.datetime.utcnow().isoformat()+'Z'}) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2

/dev/null || true

NOTE: Claude Code — skip this entire bash block.

plannotator is a hook-only binary; calling it directly always fails.

For Claude Code: call EnterPlanMode → write plan → call ExitPlanMode.

The ExitPlanMode PermissionRequest hook fires plannotator automatically.

The following script is for Codex / Gemini / OpenCode only.

GUARD: Check if plan was already approved in a previous turn (Gemini/Antigravity hook result).

plannotator-plan-loop.sh writes plan_approved=true and phase=execute to jeo-state.json on approval.

This prevents repeated plannotator calls across turns in hook-based environments.

ALREADY_APPROVED

$( python3 -c " import json, os try: s = json.load ( open ( '.omc/state/jeo-state.json' ) ) print ( 'true' if s.get ( 'plan_approved' ) is True else 'false' ) except Exception: print ( 'false' ) " 2>/dev/null || echo " false ") if [[ " $ALREADY_APPROVED " == " true " ]]; then echo " ✅ Plan already approved ( from previous turn ) . Proceeding to EXECUTE. " exit 0 fi

plannotator is mandatory for the PLAN step (Codex/Gemini/OpenCode).

If missing, JEO auto-installs it before opening the PLAN gate.

Resolve the JEO scripts directory (works from any CWD)

_JEO_SCRIPTS=" " for _candidate in \ " ${JEO_SKILL_DIR :- } /scripts" \ " $HOME /.agent-skills/jeo/scripts" \ " $HOME /.codex/skills/jeo/scripts" \ " $( pwd ) /.agent-skills/jeo/scripts" \ "scripts" \ ; do if [ -f " ${_candidate} /plannotator-plan-loop.sh" ] ; then _JEO_SCRIPTS = " $_candidate " break fi done if [ -z " $_JEO_SCRIPTS " ] ; then echo "❌ JEO scripts not found. Re-run: bash setup-codex.sh (or setup-gemini.sh)" exit 1 fi if ! bash " ${_JEO_SCRIPTS} /ensure-plannotator.sh" ; then echo "❌ plannotator auto-install failed: cannot proceed with PLAN step." echo " Retry: bash ${_JEO_SCRIPTS} /../scripts/install.sh --with-plannotator" exit 1 fi

Required PLAN gate (Codex / Gemini / OpenCode):

- Must wait until approve/feedback is received

- Auto-restart on session exit (up to 3 times)

- After 3 exits, ask user whether to end PLAN

FEEDBACK_DIR

$(
python3
-c
"import hashlib,os; h=hashlib.md5(os.getcwd().encode()).hexdigest()[:8]; d=f'/tmp/jeo-{h}'; os.makedirs(d,exist_ok=True); print(d)"
2
>
/dev/null
||
echo
'/tmp'
)
FEEDBACK_FILE
=
"
${FEEDBACK_DIR}
/plannotator_feedback.txt"
bash
"
${_JEO_SCRIPTS}
/plannotator-plan-loop.sh"
plan.md
"
$FEEDBACK_FILE
"
3
PLAN_RC
=
$?
if
[
"
$PLAN_RC
"
-eq
0
]
;
then
echo
"✅ Plan approved"
elif
[
"
$PLAN_RC
"
-eq
10
]
;
then
echo
"❌ Plan not approved — apply feedback, revise plan.md, and retry"
exit
1
elif
[
"
$PLAN_RC
"
-eq
32
]
;
then
echo
"⚠️ plannotator UI unavailable (sandbox/CI). Entering Conversation Approval Mode:"
echo
" 1. Output plan.md content to user in conversation"
echo
" 2. Ask user: 'approve' to proceed or provide feedback"
echo
" 3. DO NOT proceed to EXECUTE until user explicitly approves"
exit
32
elif
[
"
$PLAN_RC
"
-eq
30
]
||
[
"
$PLAN_RC
"
-eq
31
]
;
then
echo
"⛔ PLAN exit decision (or awaiting confirmation). Confirm with user before retrying."
exit
1
else
echo
"❌ plannotator PLAN gate failed (code=
$PLAN_RC
)"
exit
1
fi
mkdir
-p
.omc/plans .omc/logs
Write
plan.md
(include goal, steps, risks, and completion criteria)
Invoke plannotator
(per platform):
Claude Code (hook mode — only supported method)
:
plannotator
is a hook-only binary. It cannot be called via MCP tool or CLI directly.
Call
EnterPlanMode
, write the plan content in plan mode, then call
ExitPlanMode
.
The
ExitPlanMode
PermissionRequest hook fires
plannotator
automatically.
Wait for the hook to return before proceeding — approved or feedback will arrive via the hook result.
Codex / Gemini / OpenCode
run blocking CLI (never use & ):

_JEO_SCRIPTS must be resolved first via the dynamic path discovery block in the pre-flight above

bash " ${_JEO_SCRIPTS} /plannotator-plan-loop.sh" plan.md /tmp/plannotator_feedback.txt 3 If plannotator is missing, JEO must auto-run bash "${_JEO_SCRIPTS}/ensure-plannotator.sh" first and continue only after the CLI is available. Check result: approved: true (Claude Code: hook returns approved) → update jeo-state.json phase to "execute" and plan_approved to true → enter STEP 2 Not approved (Claude Code: hook returns feedback; others: exit 10 ) → read feedback, revise plan.md → repeat step 2 Infrastructure blocked ( exit 32 ) → localhost bind unavailable (e.g., sandbox/CI). Use manual gate in TTY; confirm with user and retry outside sandbox in non-TTY Session exited 3 times ( exit 30/31 ) → ask user whether to end PLAN and decide to abort or resume NEVER: enter EXECUTE without approved: true . NEVER: run with & background. STEP 2: EXECUTE Pre-flight (auto-detect team availability):

Record checkpoint

python3 -c " import json,datetime,os,subprocess,fcntl try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d.update({'checkpoint':'execute','updated_at':datetime.datetime.utcnow().isoformat()+'Z'}) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2

/dev/null || true TEAM_AVAILABLE = false if [ [ " ${CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS :- } " =~ ^ ( 1 | true | True | yes | YES ) $ ] ] ; then TEAM_AVAILABLE = true elif python3 -c " import json, os, sys try: s = json.load(open(os.path.expanduser('~/.claude/settings.json'))) val = s.get('env', {}).get('CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS', '') sys.exit(0 if str(val) in ('1', 'true', 'True', 'yes') else 1) except Exception: sys.exit(1) " 2

/dev/null ; then TEAM_AVAILABLE = true fi export TEAM_AVAILABLE_BOOL = " $TEAM_AVAILABLE " python3 -c " import json,os,subprocess,fcntl try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d['team_available']=os.environ.get('TEAM_AVAILABLE_BOOL','false').lower()=='true' fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2

/dev/null || true Update jeo-state.json phase to "execute" Team available (Claude Code + omc) : /omc:team 3:executor "" Claude Code but no team : echo "❌ JEO requires Claude Code team mode. Re-run bash scripts/setup-claude.sh, restart Claude Code, and confirm CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1." exit 1 Never fall back to single-agent execution in Claude Code. No omc (BMAD fallback — Codex / Gemini / OpenCode only) : /workflow-init # Initialize BMAD /workflow-status # Check current step STEP 3: VERIFY Update jeo-state.json phase to "verify" Basic verification with agent-browser (when browser UI is present): agent-browser snapshot http://localhost:3000 annotate keyword detected → enter STEP 3.1 Otherwise → enter STEP 4 STEP 3.1: VERIFY_UI (only when annotate keyword is detected) Pre-flight check (required before entering): if ! curl -sf --connect-timeout 2 http://localhost:4747/health

/dev/null 2

&1 ; then echo "⚠️ agentation-mcp server not running — skipping VERIFY_UI and proceeding to CLEANUP" python3 -c " import json,os,subprocess,fcntl,time try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d['last_error']='agentation-mcp not running; VERIFY_UI skipped' d['updated_at']=time.strftime('%Y-%m-%dT%H:%M:%SZ',time.gmtime()) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2>/dev/null || true

Proceed to STEP 4 CLEANUP (no exit 1 — graceful skip)

fi 2. Update jeo-state.json: phase = "verify_ui", agentation.active = true 3. Claude Code (MCP): blocking call to agentation_watch_annotations (batchWindowSeconds:10, timeoutSeconds:120) 4. Codex / Gemini / OpenCode (HTTP): polling loop via GET http://localhost:4747/pending 5. Process each annotation: acknowledge → navigate code via elementPath → apply fix → resolve 6. count=0 or timeout → enter STEP 4


STEP 4: CLEANUP

Pre-flight (check before entering): ```bash

Record checkpoint

python3 -c " import json,datetime,os,subprocess,fcntl try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d.update({'checkpoint':'cleanup','updated_at':datetime.datetime.utcnow().isoformat()+'Z'}) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2>/dev/null || true if ! git rev-parse --is-inside-work-tree >/dev/null 2>&1; then echo "⚠️ Not a git repository — skipping worktree cleanup" else UNCOMMITTED=$(git status --porcelain 2>/dev/null | wc -l | tr -d ' ') [[ "$UNCOMMITTED" -gt 0 ]] && echo "⚠️ ${UNCOMMITTED} uncommitted change(s) — recommend commit/stash before cleanup" fi Update jeo-state.json phase to "cleanup" Worktree cleanup: bash scripts/worktree-cleanup.sh || git worktree prune Update jeo-state.json phase to "done" 1. Quick Start Source of truth : https://github.com/supercent-io/skills-template Local paths like ~/.claude/skills/jeo/ are copies installed via npx skills add . To update to the latest version, reinstall using the command below.

Install JEO (npx skills add — recommended)

npx skills add https://github.com/supercent-io/skills-template --skill jeo

Full install (all AI tools + all components)

bash scripts/install.sh --all

Check status

bash scripts/check-status.sh

Individual AI tool setup

bash scripts/setup-claude.sh

Claude Code plugin + hooks

bash scripts/setup-codex.sh

Codex CLI developer_instructions

bash scripts/setup-gemini.sh

Gemini CLI hooks + GEMINI.md

bash scripts/setup-opencode.sh

OpenCode plugin registration

  1. Installed Components Tools that JEO installs and configures: Tool Description Install Command omc (oh-my-claudecode) Claude Code multi-agent orchestration /plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode omx Multi-agent orchestration for OpenCode bunx oh-my-opencode setup ohmg Multi-agent framework for Gemini CLI bunx oh-my-ag bmad BMAD workflow orchestration Included in skills ralph Self-referential completion loop Included in omc or install separately plannotator Visual plan/diff review Auto-installed during PLAN via bash scripts/ensure-plannotator.sh (or preinstall with bash scripts/install.sh --with-plannotator ) agentation UI annotation → agent code fix integration ( annotate keyword, agentui compatibility maintained) bash scripts/install.sh --with-agentation agent-browser Headless browser for AI agents — primary tool for browser behavior verification npm install -g agent-browser playwriter Playwright-based browser automation (optional) npm install -g playwriter
  2. JEO Workflow
    Full Flow
    jeo ""
    [1] PLAN (ralph + plannotator)
    Draft plan with ralph → visual review with plannotator → Approve/Feedback
    [2] EXECUTE
    ├─ team available? → /omc:team N:executor ""
    │ staged pipeline: plan→prd→exec→verify→fix
    └─ no team? → /bmad /workflow-init → run BMAD steps
    [3] VERIFY (agent-browser — default behavior)
    Verify browser behavior with agent-browser
    → capture snapshot → confirm UI/functionality is working
    ├─ with annotate keyword → [3.3.1] VERIFY_UI (agentation watch loop)
    │ agentation_watch_annotations blocking → annotation ack→fix→resolve loop
    [4] CLEANUP
    After all work is done → bash scripts/worktree-cleanup.sh
    git worktree prune
    3.1 PLAN Step (ralph + plannotator)
    Platform note
    The /ralph slash command is only available in Claude Code (omc). Use the "alternative method" below for Codex/Gemini/OpenCode. Claude Code (omc): /ralph "jeo-plan: " --completion-promise = "PLAN_APPROVED" --max-iterations = 5 Codex / Gemini / OpenCode (alternative):

Session-isolated feedback directory (prevents concurrent run conflicts)

FEEDBACK_DIR

$( python3 -c "import hashlib,os; h=hashlib.md5(os.getcwd().encode()).hexdigest()[:8]; d=f'/tmp/jeo-{h}'; os.makedirs(d,exist_ok=True); print(d)" 2

/dev/null || echo '/tmp' ) FEEDBACK_FILE = " ${FEEDBACK_DIR} /plannotator_feedback.txt"

1. Write plan.md directly, then review with plannotator (blocking — no &)

PLANNOTATOR_RUNTIME_HOME

" ${FEEDBACK_DIR} /.plannotator" mkdir -p " $PLANNOTATOR_RUNTIME_HOME " touch /tmp/jeo-plannotator-direct.lock && python3 -c " import json print(json.dumps({'tool_input': {'plan': open('plan.md').read(), 'permission_mode': 'acceptEdits'}})) " | env HOME = " $PLANNOTATOR_RUNTIME_HOME " PLANNOTATOR_HOME = " $PLANNOTATOR_RUNTIME_HOME " plannotator

" $FEEDBACK_FILE " 2

&1

↑ Run without &: waits until user clicks Approve/Send Feedback in browser

2. Check result and branch

if python3 -c " import json, sys try: d = json.load(open(' $FEEDBACK_FILE ')) sys.exit(0 if d.get('approved') is True else 1) except Exception: sys.exit(1) " 2

/dev/null ; then echo "PLAN_APPROVED"

→ enter EXECUTE step

else echo "PLAN_FEEDBACK"

→ read \"$FEEDBACK_FILE\", replan, repeat above

fi
Important
Do not run with & (background). Must run blocking to receive user feedback. Common flow: Generate plan document ( plan.md ) Run plannotator blocking → browser UI opens automatically Review plan in browser → Approve or Send Feedback Approve ( "approved":true ) → enter [2] EXECUTE step Feedback → read /tmp/plannotator_feedback.txt annotations and replan (loop) exit 32 (sandbox/CI — Conversation Approval Mode) : Output full plan.md content to user Ask: "⚠️ plannotator UI unavailable. Reply 'approve' to proceed or provide feedback." WAIT for user response — do NOT proceed to EXECUTE On approval → update jeo-state.json plan_approved=true, plan_gate_status="manual_approved" → EXECUTE On feedback → revise plan.md , retry loop, repeat Claude Code manual run: Shift+Tab×2 → enter plan mode → plannotator runs automatically when plan is complete 3.2 EXECUTE Step When team is available (Claude Code + omc): /omc:team 3 :executor "jeo-exec: " staged pipeline: team-plan → team-prd → team-exec → team-verify → team-fix Maximize speed with parallel agent execution When Claude Code team mode is unavailable: echo "❌ JEO requires /omc:team in Claude Code. Run bash scripts/setup-claude.sh, restart Claude Code, then retry." exit 1 Do not degrade to single-agent mode When team is unavailable (BMAD fallback — Codex / Gemini / OpenCode): /workflow-init

Initialize BMAD workflow

/workflow-status

Check current step

Proceed in order: Analysis → Planning → Solutioning → Implementation Review documents with plannotator after each step completes 3.3 VERIFY Step (agent-browser — default behavior) When browser-based functionality is present, verify behavior with agent-browser .

Capture snapshot from the URL where the app is running

agent-browser snapshot http://localhost:3000

Check specific elements (accessibility tree ref method)

agent-browser snapshot http://localhost:3000 -i

→ check element state using @eN ref numbers

Save screenshot

agent-browser screenshot http://localhost:3000
-o
verify.png
Default behavior
Automatically runs the agent-browser verification step when browser-related work is complete. Backend/CLI tasks without a browser UI skip this step. 3.3.1 VERIFY_UI Step (annotate — agentation watch loop) Runs the agentation watch loop when the annotate keyword is detected. (The agentui keyword is also supported for backward compatibility.) This follows the same pattern as plannotator operating in planui / ExitPlanMode . Prerequisites: npx agentation-mcp server (HTTP :4747) is running is mounted in the app Pre-flight Check (required before entering — common to all platforms):

Step 1: Check server status (graceful skip if not running — no exit 1)

if ! curl -sf --connect-timeout 2 http://localhost:4747/health

/dev/null 2

&1 ; then echo "⚠️ agentation-mcp server not running — skipping VERIFY_UI and proceeding to CLEANUP" echo " (to use agentation: npx agentation-mcp server)" python3 -c " import json,os,subprocess,fcntl,time try: root=subprocess.check_output(['git','rev-parse','--show-toplevel'],stderr=subprocess.DEVNULL).decode().strip() except: root=os.getcwd() f=os.path.join(root,'.omc/state/jeo-state.json') if os.path.exists(f): with open(f,'r+') as fh: fcntl.flock(fh,fcntl.LOCK_EX) try: d=json.load(fh) d['last_error']='agentation-mcp not running; VERIFY_UI skipped' d['updated_at']=time.strftime('%Y-%m-%dT%H:%M:%SZ',time.gmtime()) fh.seek(0); json.dump(d,fh,ensure_ascii=False,indent=2); fh.truncate() finally: fcntl.flock(fh,fcntl.LOCK_UN) " 2

/dev/null || true

Proceed to STEP 4 CLEANUP (no exit 1 — graceful skip)

else

Step 2: Check session existence ( component mount status)

SESSIONS

$( curl -sf http://localhost:4747/sessions 2

/dev/null ) S_COUNT = $( echo " $SESSIONS " | python3 -c "import sys,json ; print ( len ( json.load ( sys.stdin ) ) ) " 2>/dev/null || echo 0) [ " $S_COUNT " -eq 0 ] && echo " ⚠️ No active sessions — < Agentation endpoint = 'http://localhost:4747' /

needs to be mounted "

Step 3: Check pending annotations

PENDING= $( curl -sf http://localhost:4747/pending 2

/dev/null ) P_COUNT= $( echo " $PENDING " | python3 -c "import sys,json ; print ( json.load ( sys.stdin ) [ 'count' ] ) " 2

/dev/null || echo 0 ) echo "✅ agentation ready — server OK, ${S_COUNT} session(s), ${P_COUNT} pending annotation(s)" fi After passing pre-flight ( else branch), update jeo-state.json phase to "verify_ui" and set agentation.active to true . Claude Code (direct MCP tool call):

annotate keyword detected (or agentui — backward compatible) → blocking call to agentation_watch_annotations via MCP

batchWindowSeconds:10 — receive annotations in 10-second batches

timeoutSeconds:120 — auto-exit after 120 seconds with no annotations

Per-annotation processing loop:

1. agentation_acknowledge_annotation({id}) — show 'processing' in UI

2. navigate code via annotation.elementPath (CSS selector) → apply fix

3. agentation_resolve_annotation({id, summary}) — mark 'done' + save summary

Loop ends when annotation count=0 or timeout

Important : agentation_watch_annotations is a blocking call. Do not run with & background. Same as plannotator's approved:true loop: annotation count=0 or timeout = completion signal. annotate is the primary keyword. agentui is a backward-compatible alias and behaves identically. Codex / Gemini / OpenCode (HTTP REST API fallback): START_TIME = $( date +%s ) TIMEOUT_SECONDS = 120 while true ; do

Timeout check

NOW

$( date +%s ) ELAPSED = $(( NOW - START_TIME )) if [ $ELAPSED -ge $TIMEOUT_SECONDS ] ; then echo "[JEO] agentation polling timeout ( ${TIMEOUT_SECONDS} s) — some annotations may remain unresolved" break fi COUNT = $( curl -sf --connect-timeout 3 --max-time 5 http://localhost:4747/pending 2

/dev/null | python3 -c "import sys,json; data=sys.stdin.read(); d=json.loads(data) if data.strip() else {}; print(d.get('count', len(d.get('annotations', [])) if isinstance(d, dict) else 0))" 2

/dev/null || echo 0 ) [ " $COUNT " -eq 0 ] && break

Process each annotation:

a) Acknowledge (show as in-progress)

curl -X PATCH http://localhost:4747/annotations/ < id

\ -H 'Content-Type: application/json' \ -d '{"status": "acknowledged"}'

b) Navigate code via elementPath (CSS selector) → apply fix

c) Resolve (mark done + fix summary)

curl -X PATCH http://localhost:4747/annotations/ < id

\ -H 'Content-Type: application/json' \ -d '{"status": "resolved", "resolution": ""}' sleep 3 done 3.4 CLEANUP Step (automatic worktree cleanup)

Runs automatically after all work is complete

bash scripts/worktree-cleanup.sh

Individual commands

git worktree list

List current worktrees

git worktree prune

Clean up worktrees for deleted branches

bash scripts/worktree-cleanup.sh --force

Force cleanup including dirty worktrees

Default run removes only clean extra worktrees; worktrees with changes are left with a warning. Use --force only after review. 4. Platform Plugin Configuration 4.1 Claude Code

Automatic setup

bash scripts/setup-claude.sh

Or manually:

/plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode /plugin install oh-my-claudecode /omc:omc-setup

Add plannotator hook

bash .agent-skills/plannotator/scripts/setup-hook.sh Config file : ~/.claude/settings.json { "hooks" : { "PermissionRequest" : [ { "matcher" : "ExitPlanMode" , "hooks" : [ { "type" : "command" , "command" : "plannotator" , "timeout" : 1800 } ] } ] } } agentation MCP config ( ~/.claude/settings.json or .claude/mcp.json ): { "mcpServers" : { "agentation" : { "command" : "npx" , "args" : [ "-y" , "agentation-mcp" , "server" ] } } , "hooks" : { "UserPromptSubmit" : [ { "type" : "command" , "command" : "curl -sf --connect-timeout 1 http://localhost:4747/pending 2>/dev/null | python3 -c \"import sys,json;d=json.load(sys.stdin);c=d['count'];exit(0)if c==0 else print(f'=== AGENTATION: {c} annotations pending ===')\" 2>/dev/null;exit 0" } ] } } 4.2 Codex CLI

Automatic setup

bash scripts/setup-codex.sh

What gets configured:

- developer_instructions: ~/.codex/config.toml

- prompt file: ~/.codex/prompts/jeo.md

- notify hook: ~/.codex/hooks/jeo-notify.py

- [tui] notifications: agent-turn-complete

agentation MCP config ( ~/.codex/config.toml ): [ mcp_servers.agentation ] command = "npx" args = [ "-y" , "agentation-mcp" , "server" ] notify hook ( ~/.codex/hooks/jeo-notify.py ): Detects PLAN_READY signal in last-assistant-message when agent turn completes Confirms plan.md exists, then auto-runs plannotator Saves result to /tmp/plannotator_feedback.txt Detects ANNOTATE_READY signal (or backward-compatible AGENTUI_READY ) → polls http://localhost:4747/pending → processes annotations via HTTP API ~/.codex/config.toml config: developer_instructions = """

JEO Orchestration Workflow

...

""" notify = [ "python3" , "~/.codex/hooks/jeo-notify.py" ] [ tui ] notifications = [ "agent-turn-complete" ] notification_method = "osc9" developer_instructions must be a top-level string . Writing it as a [developer_instructions] table may cause Codex to fail on startup with invalid type: map, expected a string . notify and [tui].notifications must also be set correctly for the PLAN/ANNOTATE follow-up loop to actually work. Using in Codex: /prompts:jeo

Activate JEO workflow

Agent writes plan.md and outputs "PLAN_READY" → notify hook runs automatically

4.3 Gemini CLI

Automatic setup

bash scripts/setup-gemini.sh

What gets configured:

- AfterAgent backup hook: ~/.gemini/hooks/jeo-plannotator.sh

- Instructions (MANDATORY loop): ~/.gemini/GEMINI.md

Key principle
The agent must call plannotator
directly in blocking mode
to receive feedback in the same turn.
The AfterAgent hook serves only as a safety net (runs after turn ends → injected in next turn).
AfterAgent backup hook
(
~/.gemini/settings.json
):
{
"hooks"
:
{
"AfterAgent"
:
[
{
"matcher"
:
""
,
"hooks"
:
[
{
"name"
:
"plannotator-review"
,
"type"
:
"command"
,
"command"
:
"bash ~/.gemini/hooks/jeo-plannotator.sh"
,
"description"
:
"Run plannotator when plan.md is detected (AfterAgent backup)"
}
]
}
]
}
}
PLAN instructions added to GEMINI.md (mandatory loop)
:
1. plan.md 작성
2. plannotator blocking 실행 (& 금지) → /tmp/plannotator_feedback.txt
3. approved=true → EXECUTE / 미승인 → 수정 후 2번 반복
NEVER proceed to EXECUTE without approved=true.
agentation MCP config
(
~/.gemini/settings.json
):
{
"mcpServers"
:
{
"agentation"
:
{
"command"
:
"npx"
,
"args"
:
[
"-y"
,
"agentation-mcp"
,
"server"
]
}
}
}
Note
Gemini CLI hook events use BeforeTool and AfterAgent . ExitPlanMode is a Claude Code-only hook. Hooks Official Guide 4.4 OpenCode

Automatic setup

bash scripts/setup-opencode.sh

Added to opencode.json:

"@plannotator/opencode@latest" plugin

"@oh-my-opencode/opencode@latest" plugin (omx)

OpenCode slash commands: /jeo-plan — plan with ralph + plannotator /jeo-exec — execute with team/bmad /jeo-annotate — start agentation watch loop (annotate; /jeo-agentui is a deprecated alias) /jeo-cleanup — worktree cleanup plannotator integration (MANDATORY blocking loop):

Write plan.md then run PLAN gate (no &) — receive feedback in same turn

bash scripts/plannotator-plan-loop.sh plan.md /tmp/plannotator_feedback.txt 3

- Must wait until approve/feedback is received

- Auto-restart on session exit (up to 3 times)

- After 3 exits, confirm with user whether to abort or resume

- exit 32 if localhost bind unavailable (replace with manual gate in TTY)

Branch based on result

approved=true → enter EXECUTE

not approved → apply feedback, revise plan.md → repeat above

agentation MCP config
(
opencode.json
):
{
"mcp"
:
{
"agentation"
:
{
"type"
:
"local"
,
"command"
:
[
"npx"
,
"-y"
,
"agentation-mcp"
,
"server"
]
}
}
}
5. Memory & State
JEO stores state at the following paths:
{worktree}/.omc/state/jeo-state.json # JEO execution state
{worktree}/.omc/plans/jeo-plan.md # Approved plan
{worktree}/.omc/logs/jeo-*.log # Execution logs
State file structure:
{
"mode"
:
"jeo"
,
"phase"
:
"plan|execute|verify|verify_ui|cleanup|done"
,
"session_id"
:
""
,
"task"
:
"current task description"
,
"plan_approved"
:
true
,
"plan_gate_status"
:
"pending|approved|feedback_required|infrastructure_blocked|manual_approved"
,
"team_available"
:
true
,
"retry_count"
:
0
,
"last_error"
:
null
,
"checkpoint"
:
"plan|execute|verify|verify_ui|cleanup"
,
"created_at"
:
"2026-02-24T00:00:00Z"
,
"updated_at"
:
"2026-02-24T00:00:00Z"
,
"agentation"
:
{
"active"
:
false
,
"session_id"
:
null
,
"keyword_used"
:
null
,
"started_at"
:
null
,
"timeout_seconds"
:
120
,
"annotations"
:
{
"total"
:
0
,
"acknowledged"
:
0
,
"resolved"
:
0
,
"dismissed"
:
0
,
"pending"
:
0
}
,
"completed_at"
:
null
,
"exit_reason"
:
null
}
}
agentation fields
:
active
— whether the watch loop is running (used as hook guard),
session_id
— for resuming,
exit_reason
"all_resolved"
|
"timeout"
|
"user_cancelled"
|
"error"
dismissed annotations
When a user dismisses an annotation in the agentation UI (status becomes
"dismissed"
),
the agent should skip code changes for that annotation, increment
annotations.dismissed
, and continue to the next pending annotation.
Dismissed annotations are counted but not acted upon. The watch loop exits normally when
pending == 0
(resolved + dismissed covers all).
plan_review_method
set to
"plannotator"
when approved via UI,
"manual"
when approved via TTY fallback gate.
cleanup_completed
set to true by worktree-cleanup.sh after successful worktree prune. Error recovery fields : retry_count — number of retries after an error. Increments +1 on each pre-flight failure. Ask user to confirm if

= 3 . last_error — most recent error message. Used to identify the cause on restart. checkpoint — last phase that was started. Resume from this phase on restart ( plan|execute|verify|cleanup ). Checkpoint-based resume flow:

Check checkpoint on restart

python3 -c " import json, os, subprocess try: root = subprocess.check_output(['git', 'rev-parse', '--show-toplevel'], stderr=subprocess.DEVNULL).decode().strip() except: root = os.getcwd() f = os.path.join(root, '.omc/state/jeo-state.json') if os.path.exists(f): d=json.load(open(f)) cp=d.get('checkpoint') err=d.get('last_error') rc=d.get('retry_count',0) print(f'Resume from: {cp or \" beginning \" }') if err: print(f'Previous error ({rc} time(s)): {err}') if rc >= 3: print('⚠️ Retry count exceeded 3 — user confirmation required') " Restore after restart:

Check status and resume

bash scripts/check-status.sh --resume 6. Recommended Workflow

Step 1: Install (once)

bash scripts/install.sh --all bash scripts/check-status.sh

Step 2: Start work

jeo "" # Activate with keyword

Or in Claude: Shift+Tab×2 → plan mode

Step 3: Review plan with plannotator

Approve or Send Feedback in browser UI

Step 4: Automatic execution

team or bmad handles the work

Step 5: Cleanup after completion

bash scripts/worktree-cleanup.sh
7. Best Practices
Plan first
always review the plan with ralph+plannotator before executing (catches wrong approaches early)
Team first
omc team mode is most efficient in Claude Code
bmad fallback
use BMAD in environments without team (Codex, Gemini)
Worktree cleanup
run
worktree-cleanup.sh
immediately after work completes (prevents branch pollution)
State persistence
use
.omc/state/jeo-state.json
to maintain state across sessions
annotate
use the annotate keyword to run the agentation watch loop for complex UI changes (precise code changes via CSS selector). agentui is a backward-compatible alias. 8. Troubleshooting Issue Solution plannotator not running JEO first auto-runs bash scripts/ensure-plannotator.sh ; if it still fails, run bash .agent-skills/plannotator/scripts/check-status.sh plannotator not opening in Claude Code plannotator is hook-only. Do NOT call it via MCP or CLI. Use EnterPlanMode → write plan → ExitPlanMode ; the hook fires automatically. Verify hook is set: cat ~/.claude/settings.json | python3 -c "import sys,json;h=json.load(sys.stdin).get('hooks',{});print(h.get('PermissionRequest','missing'))" plannotator feedback not received Remove & background execution → run blocking, then check /tmp/plannotator_feedback.txt (Codex/Gemini/OpenCode only) Codex에서 plan 승인 없이 EXECUTE 진행 jeo-state.json 의 plan_gate_status 확인. infrastructure_blocked 이면 exit 32 발생 — Conversation Approval Mode로 사용자에게 직접 plan.md 보여주고 승인 요청 필요 Codex startup failure ( invalid type: map, expected a string ) Re-run bash scripts/setup-codex.sh and confirm developer_instructions in ~/.codex/config.toml is a top-level string Gemini feedback loop missing Add blocking direct call instruction to ~/.gemini/GEMINI.md worktree conflict git worktree prune && git worktree list team mode not working JEO requires team mode in Claude Code. Run bash scripts/setup-claude.sh , restart Claude Code, and verify CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 before retrying omc install failed Run /omc:omc-doctor agent-browser error Check agent-browser --version annotate (agentation) not opening Check curl http://localhost:4747/pending — verify agentation-mcp server is running annotation not reflected in code Confirm summary field is present when calling agentation_resolve_annotation agentui keyword not activating Use the annotate keyword (new). agentui is a deprecated alias but still works. MCP tool not registered (Codex/Gemini) Re-run bash scripts/setup-codex.sh / setup-gemini.sh 9. References oh-my-claudecode — Claude Code multi-agent plannotator — visual plan/diff review BMAD Method — structured AI development workflow Agent Skills Spec — skill format specification agentation — UI annotation → agent code fix integration ( annotate ; agentui backward compatible)
返回排行榜