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// Skill profile

Colony Orchestration Skill

Multi-agent task delegation and process orchestration with audit logging and agent learning capabilities.

by dabruhce · published 2026-03-22

数据处理API集成加密货币
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Last updated
2026-03
// Install command
$ claw add gh:dabruhce/dabruhce-multi-agent-orchestration
View on GitHub
// Full documentation

# Colony Orchestration Skill

Multi-agent task delegation and process orchestration with audit logging and agent learning capabilities.

Quick Start

# Single task - auto-routed
node scripts/colony.mjs dispatch "find top 5 time-series databases"

# Multi-stage process
node scripts/colony.mjs process validate-idea --context "AI meal planning for parents"
node scripts/colony.mjs process-status  # check progress
node scripts/colony.mjs approve abc123  # continue past checkpoint

# Check audit stats
node scripts/colony.mjs audit

# View agent memory
node scripts/colony.mjs memory scout

Agents

| Agent | Role | Specialization |

|-------|------|----------------|

| **scuttle** | researcher | Quick searches, lookups, fact-finding |

| **scout** | researcher | Deep market/competitor research, intelligence |

| **forecast** | analyst | Data analysis, trends, projections |

| **pincer** | coder | Writing, debugging, refactoring code |

| **shell** | ops | Git, deployments, system tasks |

| **forge** | product | PRDs, specs, roadmaps |

| **ledger** | finance | Pricing, costs, business cases |

| **muse** | creative | Brainstorming, naming, ideas |

| **scribe** | writer | Blog posts, docs, long-form content |

| **quill** | copywriter | Landing pages, sales copy, ads |

| **echo** | social | Tweets, social posts, promotion |

| **sentry** | qa | Testing, bug verification |

Task Commands

Dispatch (Auto-Route)

node scripts/colony.mjs dispatch "research best practices for API rate limiting"

Automatically detects the best agent based on task keywords.

Assign to Specific Agent

node scripts/colony.mjs assign scout "find top 5 time-series databases"
node scripts/colony.mjs assign pincer "refactor the auth module to use JWT"
node scripts/colony.mjs assign shell "deploy the staging branch"

Check Status

node scripts/colony.mjs status

Shows all agents and their current tasks.

Get Results

node scripts/colony.mjs results              # Latest completed task
node scripts/colony.mjs results abc123       # Specific task by ID

View History

node scripts/colony.mjs history              # Last 10 completed/failed
node scripts/colony.mjs history --limit 20   # Custom limit

Process Commands

Processes are multi-stage workflows that chain agents together.

List Available Processes

node scripts/colony.mjs processes

Start a Process

node scripts/colony.mjs process <process-name> --context "description"

Examples:

node scripts/colony.mjs process validate-idea --context "AI-powered meal planning for busy parents"
node scripts/colony.mjs process content-pipeline --context "How to use vector databases for RAG"
node scripts/colony.mjs process product-launch --context "Life Lunch ritual kit for parents"
node scripts/colony.mjs process bug-triage --context "Login fails with OAuth on mobile"

Check Process Status

node scripts/colony.mjs process-status           # Show latest run
node scripts/colony.mjs process-status abc123    # Specific run

Shows: current stage, completed stages, checkpoints, output files.

View Process Runs

node scripts/colony.mjs runs                 # All runs (active, paused, completed)
node scripts/colony.mjs runs --limit 5       # Last 5

Approve Checkpoint

When a process hits a checkpoint, it pauses for human approval:

node scripts/colony.mjs approve abc123

Also used to retry a failed stage.

Cancel a Process

node scripts/colony.mjs cancel abc123

Audit Commands

Track agent performance, task statistics, and system health.

Dashboard

node scripts/colony.mjs audit

Shows global stats, per-agent summary, and recent events.

Agent Details

node scripts/colony.mjs audit agent scout
node scripts/colony.mjs audit agent pincer

Shows detailed stats for a specific agent including:

  • Total tasks, success rate
  • Average duration
  • Token usage
  • Recent failures
  • Event Log

    node scripts/colony.mjs audit log              # Last 20 events
    node scripts/colony.mjs audit log --limit 50   # More events

    Slowest Tasks

    node scripts/colony.mjs audit slow             # Top 10 slowest
    node scripts/colony.mjs audit slow --limit 20

    Recent Failures

    node scripts/colony.mjs audit failures         # Last 10 failures
    node scripts/colony.mjs audit failures --limit 20

    Learning Commands

    Agents learn from experience and share knowledge.

    Feedback

    Record feedback for completed tasks:

    node scripts/colony.mjs feedback abc123 "Great research, but needed more pricing data"

    Agent Memory

    Each agent has a persistent memory file with lessons learned:

    # View an agent's memory
    node scripts/colony.mjs memory scout
    
    # Add a lesson
    node scripts/colony.mjs memory scout add "Always check publication dates on research sources"
    
    # Add to specific sections
    node scripts/colony.mjs memory scout add "Use bullet points for clarity" --pattern
    node scripts/colony.mjs memory scout add "Missed competitor X in analysis" --mistake
    node scripts/colony.mjs memory scout add "Prefers markdown tables over lists" --pref

    Shared Learnings

    Cross-agent insights and lessons:

    # View all shared learnings
    node scripts/colony.mjs learn
    
    # Add a learning
    node scripts/colony.mjs learn add "validate-idea works better with 3 competitors max" --category process
    node scripts/colony.mjs learn add "Always verify API rate limits early" --category technical --source run-abc123

    Global Context

    Shared context all agents can access:

    # View global context
    node scripts/colony.mjs context
    
    # Set preferences
    node scripts/colony.mjs context set preferences.codeStyle "TypeScript, functional"
    node scripts/colony.mjs context set preferences.timezone "America/Chicago"
    
    # Add active facts (temporary context)
    node scripts/colony.mjs context add-fact "We're targeting enterprise customers"
    node scripts/colony.mjs context add-fact "Launch deadline is Q2 2024"
    
    # Add decisions
    node scripts/colony.mjs context add-decision "Use Postgres over MySQL" --project "life-lunch"
    
    # Add projects
    node scripts/colony.mjs context add-project "life-lunch"

    Retrospective

    Review recent activity and generate insights:

    node scripts/colony.mjs retro              # Last 7 days
    node scripts/colony.mjs retro --days 14    # Last 14 days

    Shows:

  • Task completion summary
  • Per-agent stats
  • Failure patterns
  • Suggested learnings
  • Available Processes

    validate-idea

    **Validate a business idea end-to-end**

  • Stages: brainstorm → research → analyze → spec → estimate
  • Checkpoints: after analyze
  • Output: business-case.md
  • product-launch

    **End-to-end product launch**

  • Stages: research → spec → build → copy
  • Checkpoints: after spec, after copy
  • Output: market-brief.md, prd.md, code/, landing-copy.md
  • content-pipeline

    **Research, write, publish, promote content**

  • Stages: research → draft → review → publish → promote
  • Checkpoints: review (human reviews draft)
  • Output: research.md, draft.md, social-posts.md
  • bug-triage

    **Reproduce, fix, deploy bug fixes**

  • Stages: reproduce → fix → test → deploy
  • Checkpoints: none (fast path)
  • Output: bug-report.md, fix-summary.md
  • customer-research

    **Deep dive on a customer segment**

  • Stages: identify → pain-points → validate → synthesize
  • Checkpoints: none
  • Output: customer-profile.md, insights.md
  • landing-page

    **Create a full landing page**

  • Stages: strategy → copy → review → build
  • Checkpoints: after copy review
  • Output: strategy.md, copy.md, landing.html, landing.css
  • How Processes Work

    1. **Start** - Process creates a run entry and spawns first stage agent

    2. **Execute** - Each stage runs with inputs from previous stages

    3. **Checkpoint** - If stage is a checkpoint, process pauses for approval

    4. **Continue** - After approval, next stage runs

    5. **Complete** - All stages done, outputs in `colony/context/<run-id>/`

    Context Passing

  • `{context}` in task templates is replaced with your --context value
  • Stage outputs are saved to `colony/context/<run-id>/<output-file>`
  • Next stage reads inputs from previous stage's output files
  • Agent memory and global context are injected into prompts
  • Full task history in `tasks.json`
  • Parallel Stages

    Stages that share the same `parallel_group` run concurrently:

    stages:
      - id: spec
        agent: forge
        inputs: [analysis.md]
        parallel_group: "final"  # Stages with same group run together
        
      - id: estimate
        agent: ledger
        inputs: [analysis.md]
        parallel_group: "final"  # Same group = parallel execution

    When the process reaches a parallel group:

    1. All consecutive stages with the same `parallel_group` are collected

    2. All stages spawn concurrently (using `Promise.all()`)

    3. Process waits for ALL parallel stages to complete

    4. If any stage fails, the entire group fails

    5. Checkpoints work per-group (pause after all parallel stages complete)

    Output shows parallel execution clearly:

    ═══ Parallel Group: final (2 stages) ═══
        → Stage 4: spec (forge)
        → Stage 5: estimate (ledger)
    
    --- [PARALLEL] Stage 4/5: spec ---
    --- [PARALLEL] Stage 5/5: estimate ---
    
    ═══ Parallel Group: final completed ═══

    **When to use parallel groups:**

  • Stages that read the same inputs (no dependencies on each other)
  • Build + copy tasks (both depend on spec, not on each other)
  • Multiple analyses of the same data
  • Independent research threads
  • **Processes with parallel stages:**

  • `validate-idea`: spec + estimate run in parallel
  • `product-launch`: build + copy run in parallel
  • Notifications

    Colony can send notifications when processes hit checkpoints, complete, or fail. Notifications use `openclaw cron wake` to alert you.

    **Configuration** (`colony/config.yaml`):

    notifications:
      enabled: true         # Master switch for all notifications
      on_checkpoint: true   # Notify when process pauses at checkpoint
      on_complete: true     # Notify when process finishes
      on_failure: true      # Notify when process/stage fails

    **Manage via CLI:**

    # View current config
    node scripts/colony.mjs config
    
    # Disable all notifications
    node scripts/colony.mjs config set notifications.enabled false
    
    # Enable only failure notifications
    node scripts/colony.mjs config set notifications.on_checkpoint false
    node scripts/colony.mjs config set notifications.on_complete false
    node scripts/colony.mjs config set notifications.on_failure true

    **Notification examples:**

  • 🛑 `Colony checkpoint: Process "validate-idea" paused after stage "analyze". To continue: colony approve abc123`
  • ✅ `Colony complete: Process "validate-idea" finished in 120s. Run ID: abc123`
  • ❌ `Colony failed: Process "validate-idea" failed at stage "research". Error: Agent timed out. Run ID: abc123`
  • Checkpoints

    Checkpoints pause the process for human review. Two ways to define:

    1. In process `checkpoints` array (after that stage completes)

    2. As a standalone stage with `checkpoint: true` (human-only review step)

    File Structure

    skills/colony/
    ├── SKILL.md              # This file
    ├── package.json          # Dependencies (js-yaml)
    ├── colony/
    │   ├── agents.yaml       # Agent definitions
    │   ├── processes.yaml    # Process definitions
    │   ├── config.yaml       # Notification & behavior config
    │   ├── tasks.json        # Task queue and history
    │   ├── runs.json         # Process run tracking
    │   ├── feedback.json     # Task feedback storage
    │   ├── learnings.yaml    # Shared cross-agent learnings
    │   ├── global-context.json  # Shared context for all agents
    │   ├── audit/
    │   │   ├── log.jsonl     # Append-only event log
    │   │   ├── global.json   # Aggregate statistics
    │   │   └── agents/       # Per-agent statistics
    │   │       ├── scout.json
    │   │       ├── pincer.json
    │   │       └── ...
    │   ├── memory/           # Per-agent persistent memory
    │   │   ├── scout.md
    │   │   ├── pincer.md
    │   │   └── ...
    │   └── context/          # Per-task and per-run outputs
    │       └── <run-id>/
    └── scripts/
        ├── colony.mjs         # Main CLI
        ├── colony-worker.mjs  # Background agent executor
        ├── agent-wrapper.mjs # Task lifecycle utilities
        ├── audit.mjs         # Audit system functions
        └── learning.mjs      # Learning system functions

    Audit Events

    The audit log tracks these events:

    | Event | Fields |

    |-------|--------|

    | `task_started` | taskId, agent, processRunId?, stage? |

    | `task_completed` | taskId, agent, durationMs, tokens, success |

    | `task_failed` | taskId, agent, durationMs, error |

    | `checkpoint_waiting` | runId, stage |

    | `checkpoint_approved` | runId, stage |

    | `checkpoint_rejected` | runId, stage, reason |

    | `process_started` | runId, processId, context |

    | `process_completed` | runId, processId, durationMs |

    | `feedback_received` | taskId, agent, feedback |

    Customization

    Add New Agents

    Edit `colony/agents.yaml`:

    agents:
      myagent:
        role: specialist
        description: >
          What this agent does...
        model: anthropic/claude-sonnet-4
        triggers:
          - keyword1
          - keyword2

    After adding, create their memory file:

    touch colony/memory/myagent.md

    Add New Processes

    Edit `colony/processes.yaml`:

    processes:
      my-process:
        description: "What this process does"
        triggers: [keyword1, keyword2]
        stages:
          - id: stage1
            agent: scout
            task: "Do something with: {context}"
            outputs: [output1.md]
          - id: stage2
            agent: pincer
            task: "Next step based on previous"
            inputs: [output1.md]
            outputs: [output2.md]
        checkpoints: [stage1]  # Optional: pause after these stages

    Integration

    Works with OpenClaw's agent sessions.

    **Dispatch/Assign (async):** Tasks are spawned in the background and the CLI returns immediately. Use `colony status` to monitor progress and `colony results <task-id>` to view output.

    **Process stages (blocking):** Multi-stage processes run sequentially, waiting for each stage to complete before proceeding. This ensures proper data flow between stages and checkpoint handling.

    Each agent receives:

  • Their role description
  • Lessons from their memory file
  • Active facts from global context
  • Project/preference context
  • Examples

    Validate a Startup Idea

    node scripts/colony.mjs process validate-idea \
      --context "Subscription box for home coffee brewing experiments"

    Watch as it flows: brainstorm → research → analyze → (checkpoint) → spec → estimate

    Write and Publish a Blog Post

    node scripts/colony.mjs process content-pipeline \
      --context "Why RAG is eating traditional search"

    Stages: research → draft → (human review) → publish → promote

    Quick Research Task

    node scripts/colony.mjs dispatch "compare Pinecone vs Weaviate vs Milvus"

    Auto-routes to scout, returns comparison.

    Track Performance

    # After several tasks, check overall health
    node scripts/colony.mjs audit
    
    # Deep dive into a struggling agent
    node scripts/colony.mjs audit agent pincer
    node scripts/colony.mjs audit failures
    
    # Add learnings from issues
    node scripts/colony.mjs memory pincer add "Handle file not found errors gracefully" --mistake
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