Manually re-scan team context modules and produce a structured discovery table with relevance assessments. The CDR index is already in the system prompt; use this for explicit re-discovery.
npx skills add https://github.com/tikalk/adlc-team-skills --skill team-discover
The CDR index is injected into the system prompt at session start by
team-boot. The LLM natively matches CDR descriptors against the current
task and reads full module bodies on demand. This native matching happens
per prompt without invoking this skill.
Use /team-discover when you want a structured discovery table with
explicit relevance assessments — for example, when starting a complex
feature or verifying which directives apply.
team-boot is the session bootstrap: it injects the CDR index into the
system prompt via the session_start event hook. Per-prompt discovery
matching is native — the LLM matches the injected CDR index against the
current message on its own, so team-boot does not invoke this skill
as part of its bootstrap loop.
/team-discover is user-invoked: run it when you want an explicit,
structured re-scan with a relevance-rated table (complex features, audits, or
verifying which directives apply). It is not required for normal operation.
| ID | Module | Type | Descriptor | Relevance |
|----|--------|------|------------|-----------|
| CDR-2026-003 | context_modules/personas/admin.md | Persona | Admin persona | High |
_Searched N CDR entries, M PDR entries, K ADR entries, J matches found._If team AI directives are not configured, invoke team-setup.
Take tikalk/team-discover from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.