Self-Improvement CI Install npx skills add pskoett/pskoett-ai-skills/self-improvement-ci Purpose Run self-improvement in CI without interactive chat loops: Inspect PR check results and CI failures Ingest learning candidates from simplify-and-harden-ci Deduplicate recurring patterns by stable pattern_key Emit promotion-ready suggestions for agent context/system prompts Use self-improvement for interactive/local sessions. Context Limitation (Important) CI agents do not have peak task context from the original implementation session. Use this skill to aggregate recurring patterns across runs, not to infer nuanced one-off intent. Implications: Favor stable pattern_key recurrence signals over single-run conclusions Require recurrence thresholds before promotion Route uncertain or high-impact recommendations to interactive review Prerequisites GitHub Actions enabled for the repository GitHub CLI authenticated ( gh auth status ) gh-aw installed for authoring/validation: gh extension install github/gh-aw CI Contract The CI skill must: Read only PR-scoped data (checks, workflow outcomes, existing learning entries) Avoid direct code modifications in CI Emit machine-readable learning output Recommend promotion only when recurrence thresholds are met Output Schema self_improvement_ci : source : pr_number : 123 commit_sha : "abc123" candidates : - pattern_key : "harden.input_validation" source : "simplify-and-harden-ci" recurrence_count : 3 first_seen : "2026-02-01" last_seen : "2026-02-20" severity : "high" suggested_rule : "Validate and bound-check external inputs before use." promotion_ready : true summary : candidates_total : 4 promotion_ready_total : 1 followup_required : true Recurrence and Promotion Rules Track recurrence by pattern_key Default threshold for promotion: recurrence_count >= 3 seen in
= 2 distinct tasks/runs within a 30-day window Promotion targets: CLAUDE.md AGENTS.md .github/copilot-instructions.md SOUL.md / TOOLS.md when using openclaw workspace memory Authoring Workflow (gh-aw) Example-only templates live in references/workflow-example.md . Keep examples outside .github/workflows until you explicitly decide to enable CI automation. When ready: Copy the template into .github/workflows/self-improvement-ci.md Customize tool access, outputs, and policy thresholds Validate: gh aw compile --validate --strict Trigger test run manually: gh aw run self-improvement-ci --push Integration with Other Skills Pair with simplify-and-harden-ci to ingest simplify_and_harden.learning_loop.candidates Feed promoted patterns back into self-improvement memory workflow for durable prevention rules