tikalk/adlc-team-skills

team-levelup

Use when a session ends to extract CDRs, score confidence, batch review, and publish accepted CDRs to team-ai-directives.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/tikalk/adlc-team-skills --skill team-levelup

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

team-levelup

What this skill does

Session-end CDR lifecycle — extracts reusable patterns from the completed session, scores them by confidence, presents for batch review, and publishes accepted CDRs as a draft PR to team-ai-directives.

Replaces the former levelup-specify, levelup-clarify, and levelup-publish skills with a single streamlined workflow.

Searched N CDRs, K matched. 0 rows matched → emit the section heading + the searched line only — no table. A 0-row table header collapses into unrendered single-line markdown; never emit one.

When no local context-module records exist in the current working directory and the directory sits inside a workspace (detected via a .gitmodules marker in an ancestor), read the workspace root's records instead.

When to use

Invoke at the START of a matching task — before planning the todo list and before implementation — so the CDR context informs planning. Never defer to session end.

  • Session end (automatic): .events.json maps session_end → this skill
  • Manual invocation: /team-levelup after completing work
  • Before closing a branch: Extract team-wide learnings

When NOT to use

  • Brownfield discovery: Use /team-init to scan existing code
  • ADR/PDR/ChDR capture: Use the respective clarify skills (architect-clarify, product-clarify, change-clarify)

Storage

CDR drafts live in the adlc orphan branch of team-ai-directives:

team-ai-directives (adlc branch, orphan)
├── drafts/cdr/
│   ├── CDR-001.md        # Pending CDR
│   └── cdr.md            # Draft index
└── reports/
    ├── sessions/<user>/<YYYY-MM>.md
    ├── projects/<project>.json
    └── confidence-scores.json

Main branch has NO drafts directory — only accepted CDRs in context_modules/.

Process

Phase 0: Environment Setup

Run the setup script:

bash
scripts/team-levelup.sh --setup

Parse JSON for REPO_ROOT, TEAM_AI_DIRECTIVES, NEXT_CDR, ADLC_BRANCH_EXISTS.

If TEAM_AI_DIRECTIVES is not configured, exit with message to run /team-setup.

Phase 1: Extract CDRs from Session

Review the current session to identify reusable patterns:

  1. What did the user ask for?
  2. What did the agent do? (file changes, key decisions, approach)
  3. What reusable patterns emerged?
  4. What files were created/modified? (git diff --stat, git log --oneline -10)

For each pattern, create a CDR draft using the shared template at skills/team/templates/cdr-draft-template.md.

Write session trace to adlc branch: reports/sessions/<user>/<YYYY-MM>.md.

Phase 2: Score Confidence

For each extracted CDR, calculate confidence:

Base scores by type:

  • Rule: 0.60
  • Persona: 0.50
  • Example: 0.50
  • Constitution: 0.70

Bonuses:

  • +0.20 if paired eval exists
  • +0.10 if evidence includes file paths/commits
  • +0.10 if multiple projects reference same pattern

Usage multiplier (from reports/confidence-scores.json):

  • success_rate > 0.8: ×1.2
  • success_rate 0.5-0.8: ×1.0
  • success_rate < 0.5: ×0.8

Thresholds:

  • ≥ 0.8: HIGH — batch review, auto-accept after review
  • 0.5-0.79: MEDIUM — batch review required
  • < 0.5: LOW — keep as draft

Phase 3: Batch Review

Present CDRs one at a time (same as former team-learn logic):

markdown
## CDR-{ID}: {Title}

**Context Type**: {type}
**Confidence**: {score} ({HIGH/MEDIUM/LOW})
**Current Status**: {status}

### Current Content
...

### Choose Action

| Option | Action |
|---|---|
| A | Accept — Approve for implementation |
| B | Reject — Decline with reason |
| C | Defer — Skip for now, keep pending |
| D | Accept all remaining — Accept this and all pending CDRs |
| P | Promote to check (mechanical rules only) |

Reply with your choice (A/B/C/D/P).

Wait for user input before proceeding. Update CDR file after each decision.

Absent Context

If team-boot injected no team context this session (no Team Context & Decisions section in the first user message — unconfigured project or hook failure): say so in one line, maintain rows in Team Context & Decisions with a 0 CDRs matched (no team context injected — run /team-setup) source line, and continue the task on directly-read CDR modules. Never treat a missing injection as an empty record set. Recovery: run /team-diagnose.

Phase 4: Publish

For accepted CDRs, create a draft PR to team-ai-directives main branch:

  1. Switch to adlc branch worktree
  2. Read accepted CDRs from drafts/cdr/
  3. Transform to OKF v0.2 format with confidence frontmatter
  4. Write to context_modules/ in main branch
  5. Create branch, commit, push, open draft PR

Phase 5: Write Usage Data

Write to adlc branch:

  • reports/sessions/<user>/<YYYY-MM>.md — privacy-scrubbed session summary
  • reports/projects/<project>.json — CDR match/apply counts
  • Update reports/confidence-scores.json

Phase 6: Notify

Write report to .adlc/team-levelup-report.md (local, not committed):

markdown
## Team-Levelup Report

**Date**: {date}
**CDRs Extracted**: N
**CDRs Accepted**: N
**CDRs Rejected**: N
**CDRs Deferred**: N
**PR**: {URL or "none — no accepted CDRs"}

### Next Steps
1. Review PR (if created)
2. Run `/team-repair --update-confidence` after merge

Conflict Resolution

When two projects draft the same pattern:

  1. First draft creates CDR-001 with project: project-a
  2. Second draft detects existing CDR with matching descriptor → merges:
  • Adds project-b to project: field
  • Appends evidence section
  • Increments confidence (multi-project validation)

Team Context & Decisions

team-levelup integrates with Team Context & Decisions maintained by team-boot. CDR-class decisions detected during the session are captured as drafts and tracked as table rows in the same section. Mirror each CDR-class decision as a task-list todo (draft → /team-levelup at session end); after code-modifying tasks, add a trailing todo to sweep Team Context & Decisions until Unrecorded: 0 pending · Unclarified: 0 drafts (a draft leaves Unclarified only via its clarify skill or an explicit user handoff to a named clarify or execute skill). At session end, deliver the clarify prompt naming each captured draft (ID + clarify skill); if the user defers clarify, mark those rows handed off. Do not fabricate table rows — only record decisions that actually emerged from the session.

Verification

  • [ ] CDRs written to adlc branch drafts/cdr/
  • [ ] Session summary written to adlc branch reports/sessions/
  • [ ] Usage counts written to adlc branch reports/projects/
  • [ ] Accepted CDRs published as draft PR to main branch
  • [ ] team-levelup-report.md written locally
  • [ ] No drafts in main branch

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