agentsclimarketplace

Execute proposal

Skill LupusDei/adjutant/skills/execute-proposal

Execute an accepted proposal by fetching it from the backend and orchestrating epic creation via the epic-planner skill. Use when the user says "execute proposal", "implement proposal", "start working on proposal X", or wants to turn a proposal into an actionable epic hierarchy with beads.From its SKILL.md

Install
npx -y skills add LupusDei/adjutant --skill execute-proposal

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 14 stars14 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.6 KB, as published. Nobody here has run it

Execute Proposal

Execute an accepted proposal by fetching it from the backend and orchestrating epic creation.

Usage

/execute-proposal {proposalId}

Instructions

You have been asked to execute a proposal. Follow these steps:

  1. Fetch the proposal using the get_proposal MCP tool:

    get_proposal({ id: "{proposalId}" })
    
  2. Validate project match — ensure this proposal belongs to your current project:

    • Call get_project_state() to determine your current project.
    • Compare proposal.project with the current project name.
    • If they do not match, gracefully decline:
      send_message({ to: "user", body: "Cannot execute proposal '<title>' — it belongs to project '<proposal.project>' but I am currently scoped to project '<my-project>'. Please route this to an agent working on '<proposal.project>'." })
      
      Do not change the proposal's status (leave it as-is). Stop execution here — do not proceed to epic creation.
    • If they match, continue to the next step.
  3. Report status via MCP:

    set_status({ status: "working", task: "Executing proposal: <title>" })
    
  4. Acknowledge to user via MCP:

    send_message({ to: "user", body: "Starting work on proposal: <title>. Fetching details and creating epic hierarchy." })
    
  5. Create the epic hierarchy by invoking the epic-planner skill:

    adjutant-agent:epic-planner <proposal title and description>
    

    Pass the full proposal title and description content to the epic planner so it can generate specs, plan, tasks, and beads.

  6. Report completion via MCP:

    announce({ type: "completion", title: "Proposal executed: <title>", body: "Epic hierarchy created. See beads for task breakdown." })
    

Question Routing (MANDATORY)

All questions about the proposal MUST be sent to the user via Adjutant MCP messages. This is non-negotiable.

send_message({ to: "user", body: "Question about proposal '<title>': <your question>" })

Rules:

  • Do NOT use AskUserQuestion — it blocks execution and the user may not be at the terminal
  • Do NOT print questions to stdout — the user monitors agents via the Adjutant dashboard, not terminal output
  • Do NOT block waiting for answers — send the question via MCP, note your assumption, and continue
  • If you make assumptions, state them clearly in the MCP message so the user can correct you later
  • If the proposal is ambiguous on multiple points, send ONE message with all questions numbered, then proceed with reasonable defaults

Example:

send_message({ to: "user", body: "Questions about proposal 'Consolidate Zod schemas':\n1. Should MCP-only tools (coordination.ts) be consolidated too, or just tools with REST counterparts?\n2. Should we update the existing unused SendMessageRequestSchema or create a new canonical one?\n\nProceeding with assumptions: (1) MCP-only tools left alone, (2) update existing schema." })

When spawning team agents to work on the epic, include this same instruction in their spawn prompts — they must also route questions through MCP, not stdout.

Notes

  • If the proposal cannot be found, report the error to the user via send_message and stop.
  • The proposal contains: title, description, type (product/engineering), project, author, and status.

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.