ce:work

Executes work plans with agent teams, incremental commits, and four-layer verification.

6|2|Updated Jan 30, 2026
One-click install
npx skills add https://github.com/Jerrylalala/compound-engineering --skill ce-work-jerrylalala
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce:work
Source: https://github.com/Jerrylalala/compound-engineering/tree/main/plugins/compound-engineering/skills/ce-work
Command: npx skills add https://github.com/Jerrylalala/compound-engineering --skill ce-work-jerrylalala

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Turning a written plan or a bare prompt into shipped, tested code is error-prone: context degrades across many tasks, tests get skipped, and verification is inconsistent. This Skill executes work documents systematically with task triage, subagent dispatch, incremental commits, and layered self-verification so features are completed with quality gates enforced. ## Core Features & Use Cases - Plan-Driven Execution: Reads a plan, spec, or todo file (or a bare prompt), triages complexity, builds a task list, and executes inline or via serial/parallel subagents. - Agent Teams Mode ([T]/[T+]): Spawns a verifier teammate (and a risk-guard in [T+]) that independently validates each unit via SendMessage before work proceeds. - Four-Layer Self-Verification ([V]/[V+]): Auto-detects the project's start and test commands (environment fingerprint persisted in CLAUDE.md), runs tests, and optionally uses Playwright MCP for browser-level validation. - Use Case: After running /ce:plan for a new feature, invoke /ce:work with the plan path and [V] to implement each unit, run tests continuously, commit incrementally, and finish with an embedded ce:review quality pass. ## Quick Start Ask the AI to execute the plan at docs/plans/my-feature.md using ce:work with the [V] flag so it implements each unit, runs tests, and verifies the result automatically.

Frequently Asked Questions about ce:work

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I execute an implementation plan with an AI coding agent?▼

Pass the plan file path to ce:work, which reads the plan's implementation units, builds a task list, and executes each unit with tests and incremental commits. It supports inline, serial subagent, or parallel subagent strategies based on task count and dependencies.

What do the [T], [V], and [R] flags do in ce:work?▼

[T] enables Agent Teams mode with an independent verifier teammate, and [T+] adds a risk-guard. [V] enables four-layer self-verification, with [V+] adding Playwright MCP browser checks. [R] retrieves relevant historical learnings before execution.

Does ce:work work without a pre-written plan document?▼

Yes, it accepts a bare prompt describing the work. It scans the affected code area, assesses complexity, and for large tasks asks whether to route through /ce:plan first or continue with clarified goals, boundaries, and acceptance criteria.

How does ce:work detect my project's test and start commands?▼

It reads CLAUDE.md overrides first, then derives commands from package.json scripts, Makefile, pyproject.toml, Cargo.toml, or go.mod, detecting the package manager (npm, yarn, pnpm). Results are persisted in CLAUDE.md and re-validated if package.json changes.

When should I not use ce:work for a task?▼

Skip it for trivial one-file changes you can make directly, and for large cross-cutting work that lacks a plan, where running /ce:brainstorm or /ce:plan first produces better scoping. The skill itself suggests rerouting when it detects large bare-prompt tasks.