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brewcode:skills

Orchestrates Claude Code skill management — lists skills, improves existing skills, or creates new ones with activation optimization and triggers. Triggers: create skill, new skill, improve skill, fix skill activation, skill doesn't trigger, list skills, skill management, optimize skill.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: NOASSERTION

Como adicionar

/plugin marketplace add kochetkov-ma/claude-brewcode

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/brewcode-skills/svg)](https://www.skillteca.com.br/skills/brewcode-skills)

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Ler descrição completa

skills Skill

Skill Management: List, improve, create skills with activation optimization.

<instructions>

Parse Arguments

Extract mode and target from $ARGUMENTS:

| Pattern | Mode | Target | |---------|------|--------| | empty / list | list | none | | up <name\|path\|folder> | up | skill name, path, or folder | | create <prompt\|spec-path> | create | prompt or path to spec file | | <path\|name> (not a mode) | up (default) | skill name, path, or folder |

Smart Detection: If first argument is NOT a mode keyword (list, up, create), treat entire input as target for up mode.

Examples:

  • /brewcode:skills or list → list
  • /brewcode:skills up commit → up, target=commit
  • /brewcode:skills create "semantic code search" → create, target=prompt
  • /brewcode:skills commit → up, target=commit (shorthand)
  • /brewcode:skills ~/.claude/skills/ → up, target=folder (shorthand)

Mode: list

EXECUTE using Bash tool:

bash "${CLAUDE_SKILL_DIR}/scripts/list-skills.sh" && echo "✅ list" || echo "❌ list FAILED"
STOP if ❌ — verify skill base directory is resolved and scripts exist.

Mode: create / up (Unified Flow)

Both create and up follow Phases 0-6. Differences noted per phase.

Description Budget (DEFAULT)

Frontmatter description: <= 100 tokens (~400 chars). Lead sentence <= 160 chars, plain EN. Triggers: comma-list, EN only. At most 1 example. No RU/other languages unless user explicitly asks.

Prerequisite (up only): Resolve Target

EXECUTE using Bash tool:

TARGET="$ARGUMENTS"
if [[ "$TARGET" == up\ * ]] || [[ "$TARGET" == "up" ]]; then
  TARGET="${TARGET#up }"; TARGET="${TARGET#up}"
fi
TARGET="$(echo "$TARGET" | xargs)"
if [[ -z "$TARGET" ]]; then
  echo "❌ No target. Usage: /brewcode:skills up <name|path|folder>"; exit 1
fi
if [[ -d "$TARGET" ]]; then
  echo "TYPE: folder"; echo "PATH: $TARGET"
  find "$TARGET" -name "SKILL.md" -type f 2>/dev/null | head -20
elif [[ -f "$TARGET" ]]; then
  echo "TYPE: file"; echo "PATH: $TARGET"
elif [[ -f "$TARGET/SKILL.md" ]]; then
  echo "TYPE: skill-dir"; echo "PATH: $TARGET/SKILL.md"
else
  echo "TYPE: name"; echo "NAME: $TARGET"
  for loc in ~/.claude/skills .claude/skills; do
    [[ -f "$loc/$TARGET/SKILL.md" ]] && echo "FOUND: $loc/$TARGET/SKILL.md"
  done
fi
STOP if ❌ — target must resolve to at least one SKILL.md.

Phase 0: Discovery

Spawn 2-3 Explore agents in parallel (single message).

create mode — spawn in ONE message:

  1. Explore: Research skill patterns in $BC_PLUGIN_ROOT/skills/ and ~/.claude/skills/ — structure, naming, frontmatter, references, scripts.
  2. Explore: Analyze target project structure for {TOPIC} — code, APIs, configs, tooling.
  3. (Optional) general-purpose: Web research for {TOPIC} — best practices, similar tools. Use WebSearch/WebFetch.

up mode — spawn in ONE message:

  1. Explore: Analyze skill at {SKILL_PATH} — SKILL.md, references/, scripts/, tests/, README.md. Report quality and gaps.
  2. Explore: Compare {SKILL_PATH} against patterns in $BC_PLUGIN_ROOT/skills/. Output improvement recommendations.

Phase 1: User Interaction

Step 1: Check Conversation History (create only) Check if current conversation already contains workflow to capture. If yes: extract tools, steps, corrections, I/O formats for Phase 2.

Step 2: Determine Input Type (create only)

| Input | Action | |-------|--------| | Path to .md file | Read as spec | | Text prompt | Use as research query |

Step 3: Invocation Type (AskUserQuestion)

header: "Invocation"
question: "Who will invoke this skill?"
options:
  - label: "User only (slash command)"
    description: "disable-model-invocation: true, simple description"
  - label: "LLM auto-detect"
    description: "Full trigger keyword optimization"
  - label: "Both (default)"
    description: "User slash command + LLM auto-detection"

Save as INVOCATION_TYPE.

Step 4: Mode Switcher Detection (create only)

Keywords: "mode", "toggle", "switch", "persistent", "from now on", "always do", "session behavior"

If detected — AskUserQuestion: "Create as Mode Switcher skill?" (Yes/No). If Yes: set IS_MODE_SWITCHER=true, then ask scope (Project/Global/Session) via AskUserQuestion, save as MODE_SCOPE.

Validate BC_PLUGIN_DATA: EXECUTE using Bash tool:

if [ -n "$BC_PLUGIN_DATA" ]; then echo "✅ BC_PLUGIN_DATA=$BC_PLUGIN_DATA"; else echo "❌ BC_PLUGIN_DATA not set"; fi
STOP if ❌ — BC_PLUGIN_DATA required for Mode Switcher.

Step 5: Testing Depth (AskUserQuestion)

header: "Testing Depth"
question: "How thoroughly should the skill be tested?"
options:
  - label: "Quick (default)" — validate-skill.sh + 3-5 test prompts
  - label: "Standard" — + unit tests + simple review (1 reviewer + verification)
  - label: "Deep" — + quorum review (3 reviewers, threshold 2) + E2E tests

Save as TESTING_DEPTH.

Step 6: Review Type (AskUserQuestion, only if Standard or Deep)

header: "Review Type"
question: "What review approach?"
options:
  - label: "Simple (default for Standard)" — 1 reviewer + 1 verification agent
  - label: "Quorum (default for Deep)" — 3 reviewers parallel, threshold 2/3, DoubleCheck

Save as REVIEW_TYPE.

Step 7: Plan Confirmation (AskUserQuestion)

Output plan summary: Action (Create/Improve), skill path/name, files to create/modify, references used, testing approach, review type.

header: "Plan Confirmation"
question: "Proceed with this plan?"
options: [Proceed, Adjust ("Let me change something"), Cancel]

If Adjust — ask what to change, update, re-confirm. If Cancel — stop.

Phase 2: Create/Improve (skill-creator agent)

Task(subagent_type="brewcode:skill-creator", model="opus", prompt=" {ACTION} skill based on research and user preferences. Action: {create|improve} Topic/Skill: {TOPIC or SKILL_PATH} Invocation type: {INVOCATION_TYPE} ## Discovery Results {EXPLORE_RESULTS} ## Requirements

  • Follow skill-creator best practices
  • Generate unit tests for scripts/ (Step 5.7)
  • Generate README.md (Step 5.8)
  • Invocation type pre-filled: {INVOCATION_TYPE} — skip asking

")

Mode Switcher additions (if IS_MODE_SWITCHER=true) — append:

  • Single skill with argument parsing: on [mode-name], off, status
  • State in $BC_PLUGIN_DATA/modes.json — structure: .global, .projects["$PWD"], .sessions["$SESSION_ID"]
  • Scope: {MODE_SCOPE}, resolution priority: session > project > global
  • disable-model-invocation: true, mode instructions in references/
  • Bash MUST validate: if [ -z "$BC_PLUGIN_DATA" ]; then echo "❌"; exit 1; fi

After creation (if Mode Switcher): AskUserQuestion — create mode file in brewcode/modes/? If yes: spawn brewcode:hook-creator.

Folder target (multiple skills): spawn parallel agents in ONE message, one per SKILL.md found.

Phase 3: Validate (automatic)

Skill-creator Steps 5-5.8 run automatically (validate, unit tests, README). No orchestrator action needed.

Phase 4: Review

Skip if TESTING_DEPTH is Quick.

Read review prompt: ${CLAUDE_SKILL_DIR}/references/review-prompt.md

Simple Review (REVIEW_TYPE = Simple):

  1. Task(subagent_type="brewcode:reviewer", model="opus", prompt="Review skill quality at: {SKILL_PATH}\n\n{REVIEW_PROMPT_CONTENT}")
  2. If findings: Task(subagent_type="brewcode:reviewer", model="sonnet", prompt="Verify these review findings against actual code...\n\n{REVIEWER_FINDINGS}")
  3. Confirmed findings: Task(subagent_type="brewcode:skill-creator", model="opus", prompt="Fix verified issues in skill at: {SKILL_PATH}\n\n{CONFIRMED_FINDINGS}")

Quorum Review (REVIEW_TYPE = Quorum):

  1. Three in parallel (ONE message):

Task(subagent_type="brewcode:reviewer", model="opus", prompt="Review skill quality at: {SKILL_PATH}\n\n{REVIEW_PROMPT_CONTENT}") Task(subagent_type="brewcode:reviewer", model="opus", p

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