session-reflection

安装量: 72
排名: #10716

安装

npx skills add https://github.com/jwilger/agent-skills --skill session-reflection
Session Reflection
Value:
Feedback -- every user intervention is a signal that the system
prompt is incomplete. Turning corrections into durable instructions creates
compound improvement across sessions.
Purpose
Teaches agents to analyze session history for recurring corrections, generate
project-specific instructions that prevent known failure modes, and maintain
working state that survives context compaction and crashes. Transforms reactive
corrections into proactive prevention.
Practices
Reflection Triggers
Reflect after: milestones (PR merged, feature complete), 3+ repeated
corrections from the user, session restart or crash recovery, every 5
completed tasks, and on explicit user request. Do not wait for a "good time"
-- reflect when triggered.
Analyze Session History
Examine conversation history, git log, memory files, WORKING_STATE.md, and
session logs. Categorize each user intervention into one of five types:
Correction
Agent did the wrong thing (instruction gap)
Repetition
Agent was told the same thing again (emphasis gap)
Role Redirect
Agent stepped outside its role (boundary gap)
Frustration Escalation
User became more forceful (decay problem)
Workaround
User did it themselves (skill gap) See references/analysis-framework.md for detailed categorization and prioritization. Generate or Refine Project Instructions Route project-specific directives into the appropriate instruction file based on content type. There is no separate system prompt file — everything flows from CLAUDE.md → AGENTS.md → .team/coordinator-instructions.md: CLAUDE.md — Session management (startup procedure, compaction recovery, state tracking), harness-specific configuration AGENTS.md — General project rules, dos/don'ts, coding conventions, workflow configuration .team/coordinator-instructions.md — Coordinator/pipeline-controller role distinctions, build pre-flight gates, spawn discipline, domain review checklists Refinement rules: add new items for new gaps, promote advisory to structural when gaps recur, rewrite ambiguous items for clarity. Never remove items until the gap is confirmed solved across 3+ sessions. See references/system-prompt-patterns.md for writing patterns and references/launcher-templates.md for harness-specific file routing. Self-Reminder Protocol Every 5-10 messages during long sessions, re-read: project instructions (CLAUDE.md, AGENTS.md, coordinator-instructions.md as applicable), role constraints, current task context, WORKING_STATE.md. Mandatory after context compaction (you lose implicit context). This is the primary defense against role drift in long sessions. Working State Persistence Maintain WORKING_STATE.md as insurance against context compaction and crashes. Update after every significant state change. Always read before acting after any interruption. Location: .factory/WORKING_STATE.md (pipeline) or project root (standalone). See references/working-state-schema.md for format. Do: Update on task start, phase change, decision made, blocker encountered Overwrite with current state (not append) Read FIRST after any interruption Do not: Guess state from memory after a compaction or restart Use as a journal -- keep it concise and current Skip updates because "nothing important changed" Post-Session Learning Loop At session end: identify patterns from this session, update memory files, refine project instructions if triggers were hit, archive working state. The loop closes when the same category of intervention stops recurring. If an intervention category persists across 3+ sessions after instruction refinement, escalate: the gap may require a new skill or a structural change to the workflow. Enforcement Note This skill provides advisory guidance. The self-reminder protocol and working state maintenance require agent self-discipline. On Claude Code, a pre-tool-use hook could mechanically enforce state file reads, but no such hook is provided by default. The reflection triggers are event-driven and cannot be mechanically enforced. If you observe the agent drifting from its role or repeating corrected mistakes, point out the pattern and suggest a reflection. Verification After completing work guided by this skill, verify: Reflection performed at every trigger point (milestone, repeated correction, restart) User interventions categorized using the five-type taxonomy Project instructions refined with structural (not just advisory) language Directives routed to correct file (CLAUDE.md / AGENTS.md / coordinator-instructions.md) Self-reminder protocol followed (state re-read every 5-10 messages) WORKING_STATE.md current and accurate State re-read after every context compaction (not guessed) If any criterion is not met, revisit the relevant practice before proceeding. Dependencies This skill works standalone. For enhanced workflows, it integrates with: memory-protocol: Persistent storage for session learnings and working state agent-coordination: Coordination patterns referenced in instruction generation pipeline: Pipeline controller benefits from self-reminder and crash recovery ensemble-team: Team retrospectives feed into session reflection analysis Missing a dependency? Install with: npx skills add jwilger/agent-skills --skill memory-protocol
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