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execute-task (TaskMaster Execution Loop)

An autonomous 13-step loop that pulls the next TaskMaster task, dispatches a complexity-tiered subagent, and only marks it done after evidence-gated triple verification and a reachability sweep.

AutomationAdvanced★ 608⑂ 61AI score 7/10Last updated: Nov 4, 2026

What it does

Runs the EXECUTE phase of the prd-taskmaster pipeline end to end with no in-loop user prompts.

  • Next-task selection: pulls the next dependency-ready task from tasks.json and matches it to a plan step (docs/superpowers/plans/*.md → .taskmaster/docs/plan.md → custom path from pipeline.json).
  • CDD card generation: turns each subtask into a verifiable check with a concrete evidence path, written to .atlas-ai/cdd/task-<id>.json.
  • Complexity-tiered dispatch: 1–4 fast tier, 5–7 standard, 8–10 capable, keeping cost-per-task sane.
  • Hard exit-code gate: any non-zero Exit status in evidence files fails the task, no narrative override.
  • Reachability sweep: checks whether modules added by this task are imported from real production callsites; ORPHAN results auto-downgrade the task to scaffold instead of done.
  • Triple verification: evidence count + /doubt + /validate + a fresh "would you merge this?" subagent, needing 3+ agreement.
  • Escalation ladder: /stepback → /research-before-coding → /question → pivot when progress stalls 15 minutes.
  • Strict observability: one typed JSONL row per iteration in .atlas-ai/state/execute-log.jsonl.

Who it's for

  • Teams already running the prd-taskmaster plugin with an .atlas-ai state directory
  • Anyone tired of "tests pass but nothing imports it" being marked complete
  • Engineers studying auditable, halt-condition-first autonomous agent loops
  • Not for you if you want a general-purpose coding helper — it depends on bundled scripts and MCP servers.

Examples

  1. Invoke after HANDOFF: it works through 13 tasks, runs ship-check.py, calls sync to refresh the memory bank, then prints SHIP_CHECK_OK exactly once.
  2. A subagent returns BLOCKED: the loop upgrades one model tier, then splits the task with expand, and finally inboxes the parent orchestrator with a blocker message.
  3. A newly added helper module has no importers: the reachability sweep exits 1, the task is downgraded to scaffold, and a "Wire <module> into <entrypoint>" follow-up task is created.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/anombyte93/prd-taskmaster/HEAD/skills/execute-task/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the skills/execute-task folder from the GitHub repo anombyte93/prd-taskmaster into my ~/.claude/skills/execute-task/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/anombyte93/prd-taskmaster.git /tmp/prd-taskmaster && mkdir -p ~/.claude/skills && cp -r /tmp/prd-taskmaster/skills/* ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and clone the repo: git clone https://github.com/anombyte93/prd-taskmaster.git
  2. Create the skills folder: mkdir -p ~/.claude/skills
  3. Copy the skills in: cp -r prd-taskmaster/skills/* ~/.claude/skills/
  4. This skill is not standalone — follow the repo README to install the full prd-taskmaster plugin, including the .atlas-ai/ skeleton, ship-check.py, and MCP server configuration.
  5. Verify your project has .taskmaster/tasks/tasks.json and .atlas-ai/state/pipeline.json with phase: EXECUTE.
  6. Restart Claude Code, then invoke /execute-task or ask it to "run the next task".
  7. For the first run, use a clean test branch so you can inspect the automatic status changes and the execute log before trusting it on real work.
View source on GitHub ↗License: MIT