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cccskills
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newworker

Scaffold a new HQ worker with skills, tools, and knowledge.

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indigoai-us/hq-core星标 90(GitHub 90 + cccskills 0)

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包含的文件(2)

  • SKILL.md7.6 KB
  • agents/openai.yaml118 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

New Worker Builder

Create a new worker with proper structure, skills, and verification.

Technology: All HQ workers use TypeScript + Node.js (ESM). No Python for new workers.

PRDs live in personal/projects/ or companies/{co}/projects/ - Workers reference them, don't create their own. If the worker needs a PRD:

  1. Run /prd {worker-name} first to create the PRD
  2. Then return to /newworker to create the worker that references it

Context to Load First

  1. core/knowledge/public/workers/README.md - Worker framework
  2. core/knowledge/public/workers/templates/ - Worker templates
  3. core/workers/registry.yaml - Existing workers

Interactive Setup

Ask these questions (can batch related ones):

1. Identity

  • What type of worker? (CodeWorker, SocialWorker, ResearchWorker, OpsWorker)
  • What's its name/id? (e.g., "competitive-researcher", "x-user")
  • What does it do? (1-sentence purpose)

2. Skills

  • What skills does it have? (list specific capabilities)
  • What inputs does it need? (context, triggers, data)
  • What outputs does it produce? (reports, code, posts, etc.)

3. Execution

  • When does it run? (on-demand, scheduled, event-triggered)
  • Schedule if applicable (cron format: "0 9,14,19 * * *" = 9am, 2pm, 7pm)

4. Context

  • What files should always be loaded? (base context)
  • What files should be loaded per-task? (dynamic context)
  • What should be excluded? (noise reduction)

5. Context Needs

  • What project context does this worker need? (overview, architecture, domain, decisions, stakeholders, learnings)
  • Does it need more or less than its type's defaults? (see core/knowledge/context-needs/registry.yaml)
  • Any external context required? (brand guidelines, API specs, voice guides, etc.)

Tip: Reference core/knowledge/context-needs/README.md for context file descriptions. Most workers can use their type's defaults.

6. Verification

  • What checks ensure quality? (type checks, character limits, voice consistency)
  • Does it need human approval? (before external actions)

Generate Worker

First, resolve scope explicitly — do not infer silently. Ask (or confirm from clear context) whether this worker is:

  • Company-scoped (only meaningful for one tenant) → companies/{company}/workers/{worker-id}/
  • Shared (release-shipped, useful across all HQ installs) → core/workers/public/{worker-id}/

A company-scoped worker placed in core/ would be lost on the next /update-hq wholesale-replace and leaks one tenant's specifics into the shared scaffold. When in doubt, default to company scope and confirm. See core/policies/hq-customizations-live-in-personal-or-company.md.

Then create the folder at the resolved path and echo the chosen scope + target path before scaffolding.

worker.yaml

worker:
  id: {worker-id}
  name: "{Human Name}"
  type: {WorkerType}
  version: "1.0"

identity:
  persona: {your-name}  # or company_context, voice_guide

execution:
  mode: {on-demand|scheduled|event-triggered}
  schedule: "{cron if scheduled}"
  max_runtime: 10m
  retry_attempts: 2

context:
  base:
    - {always-loaded-files}
  dynamic:
    - {per-task-files}
  exclude:
    - "*.log"
    - "node_modules/"

verification:
  post_execute:
    - {checks}
  approval_required: {true|false}

context_needs:
  # Reference core/knowledge/context-needs/registry.yaml for type defaults
  # Only include if overriding type defaults
  extends: {WorkerType}  # Inherit type defaults
  overrides:  # Optional: override specific needs
    required:
      - file: {context-file}
        reason: "{why this worker needs this}"

tasks:
  source: personal/projects/{associated-project}/prd.json  # Or companies/{co}/projects/{associated-project}/prd.json
  one_at_a_time: true

output:
  destination: workspace/{output-folder}/
  format: {markdown|json}

instructions: |
  {Worker-specific instructions and constraints}

Registry — Auto-Generated

core/workers/registry.yaml is an auto-generated index produced by core/scripts/generate-workers-registry.sh (invoked from .claude/hooks/reindex.sh on every Stop / PostToolUse-Write). Do not edit it directly. Just create the worker.yaml with worker.id, worker.type, worker.description and the registry regenerates automatically. Optional fields the generator picks up: worker.status (default "active"), worker.company, worker.team.

Update Context Needs Registry (if overriding defaults)

If the worker has context needs different from its type's defaults, add to core/knowledge/context-needs/registry.yaml:

workers:
  {worker-id}:
    extends: {WorkerType}
    overrides:
      required:
        - file: {context-file}
          reason: "{why this worker specifically needs this}"
    additional_external:
      - type: {external-context-type}
        path: {path-to-external-context}
        when: "{when this context is needed}"

Skip this if: The worker's needs match its type's defaults (most common case).

Task Source Options

Workers can get tasks from:

  1. Project PRD (recommended): personal/projects/{project-name}/prd.json or companies/{co}/projects/{project-name}/prd.json

    • For workers that implement features
    • Reference existing project or create one with /prd
  2. Queue file: companies/{company}/workers/{worker-id}/queue.json (or core/workers/public/{worker-id}/queue.json for shared)

    • For workers with simple, repeating tasks (posting, monitoring)
    • Create with:
      {
        "worker": "{worker-id}",
        "tasks": []
      }
      

Do NOT create prd.json inside worker directories. PRDs belong in personal/projects/ or companies/{co}/projects/.

Rules

  • Follow existing worker patterns
  • One task at a time (Ralph principle)
  • Always include verification
  • Default to approval_required: true for external actions
  • Registration is automatic — worker.yaml is the source of truth; registry regenerates on save
  • Always reindex — run qmd update after creation

After Creation

Register Worker

The worker.yaml you just created IS the registration. core/workers/registry.yaml regenerates from it automatically when reindex fires (Stop / PostToolUse-Write hook). No manifest edits required for shared workers; company-scoped workers are discovered via the worker.company: field inside their own worker.yaml.

To force an immediate regen: bash core/scripts/generate-workers-registry.sh.

Capture Learning (Auto-Learn)

Run /learn to register the new worker in the learning system:

{
  "source": "build-activity",
  "severity": "medium",
  "scope": "global",
  "rule": "Worker {worker-id} exists at companies/{company}/workers/{worker-id}/ (or core/workers/public/{worker-id}/ if shared) for {1-sentence purpose}",
  "context": "Created via /newworker"
}

Reindex + Update INDEX

  1. qmd update 2>/dev/null || true
  2. Regenerate core/workers/public/INDEX.md (shared workers) or companies/{company}/workers/INDEX.md (company workers) per core/knowledge/public/hq-core/index-md-spec.md.

Report to User

Provide next steps:

  1. "Worker created at companies/{company}/workers/{worker-id}/ (or core/workers/public/{worker-id}/ if shared)"
  2. "Registry auto-regenerated on next reindex (or run bash core/scripts/generate-workers-registry.sh to force)"
  3. "Test with on-demand execution first"
  4. If using queue: "Add tasks to queue.json to get started"
  5. If using PRD: "Run /prd {project-name} to create the PRD, then link it in worker.yaml"

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