Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
pskoett avatar

Self Healing Ci

  • 4 installs
  • 272 repo stars
  • Updated June 12, 2026
  • pskoett/pskoett-skills

Helps with ai & agent building tasks.

About

self-healing-ci is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • self-healing-ci
  • AI & Agent Building
  • AI-coding skill

Self Healing Ci by the numbers

  • 4 all-time installs (skills.sh)
  • Ranked #13,372 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pskoett/pskoett-skills --skill self-healing-ci

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs4
repo stars272
Last updatedJune 12, 2026
Repositorypskoett/pskoett-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Self-Healing CI

CI-only variant of `self-healing`. Runs the diagnose → patch → verify → file loop headlessly against pull-request and scheduled workflow events.

Install

gh skill install pskoett/pskoett-skills self-healing-ci

Fallback using the Agent Skills CLI:

npx skills add pskoett/pskoett-skills/skills/self-healing-ci

Purpose

Run self-healing in CI without interactive chat loops:

  • Inspect failed PR checks (test/build/lint/scan/deploy) and parse logs for root cause
  • Propose a minimal verified patch as a PR comment or follow-up commit
  • Commit a HEAL- entry to .learnings/HEALS.md with verification proof (or pending-verify if the workflow can't re-run the check)
  • Search prior HEAL entries by Pattern-Key before filing new ones — deduplicate recurrences
  • Append a Handoff block at Recurrence-Count >= 3 for promotion via self-improvement-ci

Use `self-healing` for interactive/local sessions.

Context Limitation (Important)

CI agents do not have peak task context from the original implementation session. The agent is reading CI logs and code, not riding peak context after a focused implementation. Implications:

  • Favor conservative diagnoses — when uncertain, file pending-verify and surface to the PR author
  • Require mandatory verify before claiming verified — re-run the failing check in the same workflow run
  • Never modify project code without an explicit verify pass; propose changes as PR comments unless the workflow is configured for auto-commit
  • Route uncertain or high-impact recommendations to interactive review

Prerequisites

1. GitHub Actions enabled for the repository 2. GitHub CLI authenticated in the workflow (gh auth status) 3. gh-aw installed for authoring/validation:

gh extension install github/gh-aw

4. .learnings/HEALS.md committed to the repo (or created on first run; see references/workflow-example.md for the bootstrap pattern)

CI Contract

The CI skill must:

1. Read CI logs, PR diff, and existing .learnings/HEALS.md — nothing else from the PR author's machine 2. Avoid direct code modifications by default — propose via PR comment or label-gated commit 3. Re-run the failing check after applying the proposed patch (when feasible) — verified requires this; pending-verify is honest if it cannot 4. Emit a machine-readable YAML output (see Output Schema) 5. Commit the verified HEAL- entry only on a successful re-run — abandoned heals are still filed, but in a separate commit clearly labeled

Output Schema

self_healing_ci:
  source:
    pr_number: 123
    commit_sha: "abc123def"
    failed_check: "test (node 20)"
    workflow_run_id: 4567891234
  heal:
    heal_id: "HEAL-20260524-001"
    status: "verified"            # verified | pending-verify | abandoned
    trigger: "tool-failure"       # free-form
    active_context: "ci"          # optional
    area: "tests"                 # free-form
    pattern_key: "env.lockfile_mismatch"
    diagnosis: "Project uses pnpm; CI workflow ran `npm ci`."
    fix:
      summary: "Switch the CI install step from `npm ci` to `pnpm install --frozen-lockfile`."
      diff_path: ".learnings/heals/HEAL-20260524-001/patch.diff"   # only if files generated
    verification:
      command: "pnpm install --frozen-lockfile"
      exit_code: 0
      output_excerpt: "Lockfile is up to date, resolution step is skipped"
    recurrence_count: 1
    promotion_ready: false        # true at recurrence_count >= 3
  summary:
    heals_filed: 1
    verified: 1
    pending_verify: 0
    abandoned: 0
    promotion_candidates: 0

Verify-Before-Persist in CI

In CI the verify step is operationalized as re-running the failed check inside the same workflow run after applying the proposed patch:

Original failureVerify step in CI
pnpm test failedRe-run pnpm test after the patch
Build (tsc, cargo build) failedRe-run the build step
Lint (eslint, ruff) failedRe-run the lint step
Deploy preview failedRe-run the deploy step (if the workflow allows)
Snapshot diffRe-run with deterministic stubs if applicable

If the re-run isn't feasible (the check requires secrets only available in production workflows; the failure is transient; the patch needs human review before commit), the HEAL ships as pending-verify with explicit notes on what would prove it.

Never fake `verified`. Faking is the exact failure mode this skill exists to prevent — and in CI, the consequences propagate further than in interactive sessions because future PRs may apply the unverified "fix" automatically.

Recurrence and Promotion Rules

  • Search .learnings/HEALS.md by Pattern-Key before filing new heals
  • On match: increment Recurrence-Count, update Last-Seen, append the new occurrence to See Also
  • Promotion threshold (same as interactive):
  • Recurrence-Count >= 3
  • Seen across at least 2 distinct PRs/tasks
  • The fix is generalizable (not project-specific)
  • On promotion: append a Handoff block to the existing HEAL with a Promotion Target (CLAUDE.md / AGENTS.md / .github/copilot-instructions.md / new-skill) and a one-line Distilled Rule
  • self-improvement-ci consumes the Handoff blocks and proposes the promotion as a PR

Suggested Workflow Triggers

TriggerUse case
workflow_run (completed, conclusion: failure)Most common — react to other workflows failing
pull_request (with if: guard on check status)Run on every PR but skip if all checks passed
schedule (nightly)Look for stale flakes, surface patterns the per-PR runs missed
workflow_dispatchManual replay against a specific PR or commit

Authoring patterns and example .github/workflows/*.lock.yml files live in `references/workflow-example.md`. Keep example workflows out of .github/workflows until you've explicitly decided to enable CI automation.

Anti-Patterns in CI

The interactive skill's anti-patterns all apply. CI-specific ones to watch:

1. Auto-commit unverified fixes. A patch that hasn't passed the re-run check should never land on the branch automatically. Propose via PR comment instead. 2. Re-trigger loops. If the heal triggers its own workflow, gate with if: github.actor != 'github-actions[bot]' to prevent infinite loops. 3. Silent retry of flaky tests. A flaky test is not a heal candidate unless the patch actually addresses the non-determinism. Re-running the same flaky test until green is hiding, not healing. 4. Cross-PR `Pattern-Key` collisions. If two PRs hit the same Pattern-Key with different root causes, the keys are too coarse — refine them rather than letting them merge. 5. Heals on infra you don't own. Don't patch a third-party action's source from inside CI — propose a version pin or a configuration change instead.

Cross-references

  • `self-healing` — the interactive skill this mirrors; same file format, same verify discipline
  • `self-improvement-ci` — receives heal Handoff blocks; proposes promotion to memory files
  • `simplify-and-harden-ci` — quality pass after heals stabilize the PR
  • `verify-gate` — the interactive verify gate; self-healing-ci's verify is the CI workflow re-run
  • `references/workflow-example.md` — gh-aw workflow templates and authoring notes

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.