How do I install the Task Execution Engine skill?

Run npx skillmds@latest add tomevault-io/task-execution-engine in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Task Execution Engine safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Task Execution Engine?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Task Execution Engine free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Task Execution Engine?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Task Execution Engine by tomevault-io

Name: Task Execution Engine
Author: tomevault-io

Task Execution Engine

Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-design-assistant output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'. Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

Feature Pipeline

Execute implementation tasks directly from design documents. Tasks are managed as markdown checkboxes - no separate session files needed.

Quick Reference

# Get next task
python3 scripts/task_manager.py next --file <design.md>

# Mark task completed
python3 scripts/task_manager.py done --file <design.md> --task "Task Title"

# Mark task failed
python3 scripts/task_manager.py fail --file <design.md> --task "Task Title" --reason "..."

# Show status
python3 scripts/task_manager.py status --file <design.md>

Task Format

Tasks are written as markdown checkboxes in the design document:

## Implementation Tasks

- [ ] **Create User model** `priority:1` `phase:model`
  - files: src/models/user.py, tests/models/test_user.py
  - [ ] User model has email and password_hash fields
  - [ ] Email validation implemented
  - [ ] Password hashing uses bcrypt

- [ ] **Implement JWT utils** `priority:2` `phase:model`
  - files: src/utils/jwt.py
  - [ ] generate_token() creates valid JWT
  - [ ] verify_token() validates JWT

- [ ] **Create auth API** `priority:3` `phase:api` `deps:Create User model,Implement JWT utils`
  - files: src/api/auth.py
  - [ ] POST /register endpoint
  - [ ] POST /login endpoint

See references/task-format.md for full format specification.

Execution Loop

LOOP until no tasks remain:
  1. GET next task (task_manager.py next)
  2. READ task details (files, criteria)
  3. IMPLEMENT the task
  4. VERIFY acceptance criteria
  5. UPDATE status (task_manager.py done/fail)
  6. CONTINUE

Unattended Mode Rules

NO stopping for questions
NO asking for clarification
Make autonomous decisions based on codebase patterns
If blocked, mark as failed and continue

Status Updates

Completed task:

- [x] **Create User model** `priority:1` `phase:model` ✅
  - files: src/models/user.py
  - [x] User model has email field
  - [x] Password hashing implemented

Failed task:

- [x] **Create User model** `priority:1` `phase:model` ❌
  - files: src/models/user.py
  - [ ] User model has email field
  - reason: Missing database configuration

Resume / Recovery

To resume interrupted work, simply run again with the same design file:

/feature-pipeline docs/designs/xxx.md

The task manager will find the first uncompleted task and continue from there.

Integration

This skill is typically triggered after /feature-analyzer completes:

User: /feature-analyzer implement user auth

Claude: [designs feature, generates task list]
        Design saved to docs/designs/2026-01-02-user-auth.md
        Ready to start implementation?

User: Yes / 开始实现

Claude: [executes tasks via task-execution-engine]

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: task-execution-enginedescription: Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-design-assistant output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'. Use when this capability is needed.---# Feature PipelineExecute implementation tasks directly from design documents. Tasks are managed as markdown checkboxes - no separate session files needed.## Quick Reference```bash# Get next taskpython3 scripts/task_manager.py next --file <design.md># Mark task completedpython3 scripts/task_manager.py done --file <design.md> --task "Task Title"# Mark task failedpython3 scripts/task_manager.py fail --file <design.md> --task "Task Title" --reason "..."# Show statuspython3 scripts/task_manager.py status --file <design.md>```## Task FormatTasks are written as markdown checkboxes in the design document:```markdown## Implementation Tasks- [ ] **Create User model** `priority:1` `phase:model` - files: src/models/user.py, tests/models/test_user.py - [ ] User model has email and password_hash fields - [ ] Email validation implemented - [ ] Password hashing uses bcrypt- [ ] **Implement JWT utils** `priority:2` `phase:model` - files: src/utils/jwt.py - [ ] generate_token() creates valid JWT - [ ] verify_token() validates JWT- [ ] **Create auth API** `priority:3` `phase:api` `deps:Create User model,Implement JWT utils` - files: src/api/auth.py - [ ] POST /register endpoint - [ ] POST /login endpoint```See [references/task-format.md](references/task-format.md) for full format specification.## Execution Loop```LOOP until no tasks remain: 1. GET next task (task_manager.py next) 2. READ task details (files, criteria) 3. IMPLEMENT the task 4. VERIFY acceptance criteria 5. UPDATE status (task_manager.py done/fail) 6. CONTINUE```### Unattended Mode Rules- **NO stopping** for questions- **NO asking** for clarification- Make autonomous decisions based on codebase patterns- If blocked, mark as failed and continue## Status UpdatesCompleted task:```markdown- [x] **Create User model** `priority:1` `phase:model` ✅ - files: src/models/user.py - [x] User model has email field - [x] Password hashing implemented```Failed task:```markdown- [x] **Create User model** `priority:1` `phase:model` ❌ - files: src/models/user.py - [ ] User model has email field - reason: Missing database configuration```## Resume / RecoveryTo resume interrupted work, simply run again with the same design file:```/feature-pipeline docs/designs/xxx.md```The task manager will find the first uncompleted task and continue from there.## IntegrationThis skill is typically triggered after `/feature-analyzer` completes:```User: /feature-analyzer implement user authClaude: [designs feature, generates task list] Design saved to docs/designs/2026-01-02-user-auth.md Ready to start implementation?User: Yes / 开始实现Claude: [executes tasks via task-execution-engine]```---> Converted and distributed by [TomeVault](https://tomevault.io/claim/davila7) — claim your Tome and manage your conversions.

Frequently asked questions