Claude Skill

team-discover

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.

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Download tikalk-adlc-team-skills-skills_team_team-discover-3035db2.zip · 1 KB
Part of tikalk/adlc-team-skills — 21 skills

Install

skills CLI npx skills add https://github.com/tikalk/adlc-team-skills/tree/main/skills/team/team-discover
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install tikalk-adlc-team-skills@llmmart
Git git clone https://github.com/tikalk/adlc-team-skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole tikalk/adlc-team-skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

team-discover

Overview

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.

Relationship to team-boot

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.

Process

  1. Extract domain, technology, patterns, and actions from the task.
  2. Scan the CDR index for matching entries.
  3. Assess relevance: High / Medium / Low.
  4. Read full module bodies for High-relevance entries.
  5. Output:
ID Module Type Descriptor Relevance
CDR-2026-003 context_modules/personas/admin.md Persona Admin persona High
  1. Include PDR/ADR/ChDR matches from project indexes if relevant.
  2. Include: _Searched N CDRs, M PDRs, K ADRs, C ChDRs, J matches found._

Unconfigured projects

If team AI directives are not configured, invoke team-setup.

Files (adlc-team-skills)
  • SKILL.md 1.9 KB
    ---
    name: team-discover
    description: Use when explicit manual re-discovery of team context modules is wanted beyond the injected CDR index (/team-discover) — produces a structured match table with relevance assessments.
    ---
    
    # team-discover
    
    ## Overview
    
    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.
    
    ## Relationship to team-boot
    
    `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.
    
    ## Process
    
    1. Extract domain, technology, patterns, and actions from the task.
    2. Scan the CDR index for matching entries.
    3. Assess relevance: High / Medium / Low.
    4. Read full module bodies for High-relevance entries.
    5. Output:
    
    | ID | Module | Type | Descriptor | Relevance |
    |----|--------|------|------------|-----------|
    | CDR-2026-003 | context_modules/personas/admin.md | Persona | Admin persona | High |
    
    6. Include PDR/ADR/ChDR matches from project indexes if relevant.
    7. Include: `_Searched N CDRs, M PDRs, K ADRs, C ChDRs, J matches found._`
    
    ## Unconfigured projects
    
    If team AI directives are not configured, invoke `team-setup`.
    

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