Verwendung
- Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
- Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
- Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/tikalk/adlc-team-skills --skill team-levelupVor dem Start
- Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
- Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.
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.jsonmapssession_end→ this skill - Manual invocation:
/team-levelupafter completing work - Before closing a branch: Extract team-wide learnings
When NOT to use
- Brownfield discovery: Use
/team-initto 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.jsonMain branch has NO drafts directory — only accepted CDRs in context_modules/.
Process
Phase 0: Environment Setup
Run the setup script:
scripts/team-levelup.sh --setupParse 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:
- What did the user ask for?
- What did the agent do? (file changes, key decisions, approach)
- What reusable patterns emerged?
- 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):
## 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:
- Switch to
adlcbranch worktree - Read accepted CDRs from
drafts/cdr/ - Transform to OKF v0.2 format with confidence frontmatter
- Write to
context_modules/in main branch - 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 summaryreports/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):
## 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 mergeConflict Resolution
When two projects draft the same pattern:
- First draft creates CDR-001 with
project: project-a - 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
adlcbranchdrafts/cdr/ - [ ] Session summary written to
adlcbranchreports/sessions/ - [ ] Usage counts written to
adlcbranchreports/projects/ - [ ] Accepted CDRs published as draft PR to main branch
- [ ] team-levelup-report.md written locally
- [ ] No drafts in main branch


