sys-executing-threads

📁 bellabe/lean-os 📅 Feb 7, 2026
4
总安装量
4
周安装量
#48948
全站排名
安装命令
npx skills add https://github.com/bellabe/lean-os --skill sys-executing-threads

Agent 安装分布

gemini-cli 4
trae 4
antigravity 4
junie 4
windsurf 4
codex 4

Skill 文档

Thread Executor

Write agent outputs to thread stage files using the numbered convention.

Responsibility

Accept agent outputs and write them to the correct numbered stage files in a thread directory. Update frontmatter to track completion.

Thread File Convention

threads/{domain}/{thread-name}/
├── 1-input.md          # Goal context (written by sys-activating-goals, NEVER by this skill)
├── 2-hypothesis.md     # Approach, assumptions, expected outcomes
├── 3-implication.md    # If hypothesis true, what follows
├── 4-decision.md       # Chosen course of action
├── 5-actions.md        # Execution steps and status
└── 6-learning.md       # Outcomes, insights, improvements

Agent-to-Stage Mapping

Type Stages Written Agents
planning 2, 3, 4 mkt-strategist, sls-strategist
execution 5, 6 mkt-campaign-manager, sls-outbound-manager, cst-advocacy-manager
spec 2, 3, 4, 5 prd-engineer, prd-growth-engineer
full-cycle 2, 3, 4, 5, 6 ops-manager
lifecycle 2, 4, 5, 6 cst-success-manager, cst-expansion-manager, cst-retention-manager
content 2, 5 mkt-content-manager, sls-enablement-manager
inbound 2, 3, 5 mkt-inbound-manager
partnership 2, 4, 5, 6 sls-partner-manager

Input

The calling agent provides:

thread_path: threads/{domain}/{thread-name}
agent_name: {agent that produced the output}
agent_type: planning | execution | spec | full-cycle | lifecycle | content | inbound | partnership
outputs:
  hypothesis: |    # Stage 2 content (if in agent's stages)
    ...
  implication: |   # Stage 3 content
    ...
  decision: |      # Stage 4 content
    ...
  actions: |       # Stage 5 content
    ...
  learning: |      # Stage 6 content
    ...

Process

Step 1: Validate Thread

1. Confirm thread_path exists
2. Confirm 1-input.md exists (thread was properly activated)
3. Read 1-input.md frontmatter for thread_id and goal_id

Step 2: Determine Stages

1. Look up agent_type in mapping table
2. Get list of stage numbers to write
3. Confirm agent provided content for each stage

Step 3: Write Stage Files

For each stage in the agent’s mapping:

1. Create stage file with frontmatter:
   - status: completed
   - completed_by: {agent_name}
   - completed_at: {YYYY-MM-DD}
2. Write agent output as file body
3. Save file

Step 4: Verify

1. Confirm all mapped stages have status: completed
2. Return summary of stages written

Frontmatter

Stage files are created by this skill (not pre-existing). Each file gets:

---
status: completed
completed_by: mkt-strategist
completed_at: 2026-02-01
---

For 4-decision.md specifically:

---
status: completed
decided_by: mkt-strategist
decided_at: 2026-02-01
---

For 5-actions.md specifically:

---
status: completed
started_at: 2026-02-01
completed_at: 2026-02-01
---

Stage Content Guidelines

2-hypothesis.md

Agent fills:

  • Approach section with strategy/methodology
  • Expected Outcome with measurable targets
  • Key Assumptions table
  • Risks table

3-implication.md

Agent fills:

  • If Hypothesis Succeeds with quantified impact
  • If Hypothesis Fails with fallback plan
  • Decision Criteria table with thresholds

4-decision.md

Agent fills:

  • Chosen Action with explicit commitment
  • Rationale linking back to hypothesis
  • Trade-offs table
  • Approval gate (if impact >= 0.8)

5-actions.md

Agent fills:

  • Execution Plan table with steps, owners, due dates
  • Progress Log (updated during execution)
  • Blockers (if any)

6-learning.md

Agent fills:

  • Outcome (expected vs actual)
  • What Worked list
  • What Didn’t Work list
  • Key Insights
  • Process Improvements
  • Recommendations

Output

execution_summary:
  thread_path: threads/{domain}/{thread-name}
  agent: {agent_name}
  type: {agent_type}
  stages_written: [2, 3, 4]  # example for planning type
  completed_at: 2026-02-01
  status: all_stages_written | partial

Integration

Upstream

  • All thread-routable agents: Produce outputs then call this skill
  • sys-activating-goals: Creates thread with 1-input.md (prerequisite)

Downstream

  • sys-tracking-goals: Reads completed stages to assess progress
  • 6-learning.md: Feeds back into goal tracking and loop detection

Constraints

This skill NEVER:

  • Writes to 1-input.md (owned by sys-activating-goals)
  • Creates thread directories (owned by sys-activating-goals)
  • Executes domain work (agents do)
  • Skips stages in the agent’s mapping

This skill ALWAYS:

  • Validates thread exists before writing
  • Updates frontmatter status on every stage file
  • Records which agent completed each stage
  • Returns execution summary