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auditing-epic-alignment

Productivity
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Use when an epic or milestone may have drifted from reality - checklist items that could be stale, issues possibly in the wrong milestone, a "gated on

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How to use this skill

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  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/RackulaLives/Rackula/blob/HEAD/.claude/skills/auditing-epic-alignment/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/auditing-epic-alignment/. Do not write files or run scripts until I approve.

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Auditing Epic Alignment

Reference card. An epic body is a claim about reality, not reality itself; the longer it lives, the more its checklist, milestones, and "gated on #X" notes drift from actual issue states. Audit against live data, then split or re-scope.

The one subtle move: verify blockers at the ARTIFACT level, not the issue state. "Gated on #X" is not settled by #X being open or closed. Check the deliverable: is the PR merged to the default branch, does the file or schema already contain the change, are the docs live? Anything in draft or review does not unblock. (A year-old "blocked by #X" was once false because the schema file already carried the change and #X's generator was closed; that one check re-scoped a milestone.) A checklist item with no linked issue is an unverifiable claim, not a fact.

GitHub-specific (sub-issues API, milestones). For Jira/GitLab/Linear, adapt the live pull and skip native sub-issue wiring; the taxonomy still applies.

Drift Types

DriftHow to detectFix
Stale checkboxchild state != body checkboxcorrect the body
Misfiled issuechild milestone != epic'srelocate or re-note
False blockerclaimed dep already met at the artifact levelremove the dep, document why
Unmapped claimchecklist item with no linked issueflag; link, downgrade, or delete
Text-only parentingsub_issues returns emptywire native links
Phantom phasework with no issue and no near-term ownerdemote to one gated note; do not pre-create issues
Conflated scopeone epic, two audiences or data modelssplit when independently deliverable; keep-with-cross-link when one is a subset or dependency of the other; close when superseded

Skill Routing

Load the matching skill to judge whether the epic's acceptance criteria and non-goals are complete and current. You are auditing alignment, not writing the work.

Audited scopeSkill
auth, tokens, data ingress, serialization/secure-coding
UI, components, accessibility/frontend-design:frontend-design
splitting or re-phasing scope/superpowers:brainstorming
before any tracker mutation/superpowers:devils-advocate
audit unmasks untracked work/gh-create
restructure spans many moves/superpowers:writing-plans, then /orchestrate-issues

Execution (order matters)

  1. Create or rename the destination (milestone, new epic) FIRST, so re-scope edits never reference a dangling target. Capture the new epic number.
  2. Relocate children (gh issue edit --milestone).
  3. Wire native sub-issues: gh api -X POST repos/OWNER/REPO/issues/PARENT/sub_issues -F sub_issue_id=CHILD_ID. sub_issue_id is the numeric database .id (gh api .../issues/N -q .id), NOT the issue number. The POST returns the parent, so a repeated parent id in the output is success. A child already parented elsewhere is rejected; resolve that first.
  4. Edit the epic and parent bodies last, referencing the now-existing targets.
  5. Repoint initiatives or siblings that named the moved work, then verify both trees (.../sub_issues and the milestone listing) before reporting done.
  6. Present the changes as structured options and get approval before mutating. The human owns scope forks (which milestone, whether to split); offer tradeoffs, do not pre-decide them.

Maturity: reference card, intentionally light. Pressure-testing (see TESTING.md) found a capable model already verifies live and knows these mechanics, so this carries the non-obvious reference points and the routing, not a discipline apparatus.