compound-engineering-pi

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Run comprehensive agent-native architecture review with scored principles

Explore requirements and approaches through collaborative dialogue before writing a right-sized requirements document and planning implementation. Use for feature ideas, problem framing, when the user says 'let's brainstorm', or when they want to think through options before deciding what to build. Also use when a user describes a vague or ambitious feature request, asks 'what should we build', 'help me think through X', presents a problem with multiple valid solutions, or seems unsure about scope or direction — even if they don't explicitly ask to brainstorm.

Refresh stale or drifting learnings and pattern docs in docs/solutions/ by reviewing, updating, replacing, or archiving them against the current codebase. Use after refactors, migrations, dependency upgrades, or when a retrieved learning feels outdated or wrong. Also use when reviewing docs/solutions/ for accuracy, when a recently solved problem contradicts an existing learning, or when pattern docs no longer reflect current code.

Document a recently solved problem to compound your team's knowledge

Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.

Transform feature descriptions or requirements into structured implementation plans grounded in repo patterns and research. Use when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', or when a brainstorm/requirements document is ready for technical planning. Best when requirements are at least roughly defined; for exploratory or ambiguous requests, prefer ce:brainstorm first.

[BETA] Structured code review using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline. Use when reviewing code changes before creating a PR.

Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees

[BETA] Execute work plans with external delegate support. Same as ce:work but includes experimental Codex delegation mode for token-conserving code implementation.

Execute work plans efficiently while maintaining quality and finishing features

Optimize Claude Code permissions by finding safe Bash commands from session history and auto-applying them to settings.json. Can run from any coding agent but targets Claude Code specifically. Use when experiencing permission fatigue, too many permission prompts, wanting to optimize permissions, or needing to set up allowlists. Triggers on "optimize permissions", "reduce permission prompts", "allowlist commands", "too many permission prompts", "permission fatigue", "permission setup", or complaints about clicking approve too often.

Stress-test an existing implementation plan and selectively strengthen weak sections with targeted research. Use when a plan needs more confidence around decisions, sequencing, system-wide impact, risks, or verification. Best for Standard or Deep plans, or high-risk topics such as auth, payments, migrations, external APIs, and security. For structural or clarity improvements, prefer document-review instead.

Validate and prepare documentation for GitHub Pages deployment

Review requirements or plan documents using parallel persona agents that surface role-specific issues. Use when a requirements document or plan document exists and the user wants to improve it.

Record a video walkthrough of a feature and add it to the PR description. Use when a PR needs a visual demo for reviewers, when the user asks to demo a feature, create a PR video, record a walkthrough, show what changed visually, or add a video to a pull request.

This skill should be used when managing the file-based todo tracking system in the .context/compound-engineering/todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integrating with code review processes.

Create a new custom slash command following conventions and best practices

This skill manages Git worktrees for isolated parallel development. It handles creating, listing, switching, and cleaning up worktrees with a simple interactive interface, following KISS principles.

Full autonomous engineering workflow

Create, edit, comment on, and share markdown documents via Proof's web API and local bridge. Use when asked to "proof", "share a doc", "create a proof doc", "comment on a document", "suggest edits", "review in proof", or when given a proofeditor.ai URL.

Report a bug in the compound-engineering plugin

Resolve all PR comments using parallel processing. Use when addressing PR review feedback, resolving review threads, or batch-fixing PR comments.

Resolve all pending CLI todos using parallel processing, compound on lessons learned, then clean up completed todos.

Configure which review agents run for your project. Auto-detects stack and writes compound-engineering.local.md.

Full autonomous engineering workflow using swarm mode for parallel execution

Run browser tests on pages affected by current PR or branch

Build and test iOS apps on simulator using XcodeBuildMCP

Triage and categorize findings for the CLI todo system

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Run comprehensive agent-native architecture review with scored principles

Conditional code-review persona, selected when the diff touches API routes, request/response types, serialization, versioning, or exported type signatures. Reviews code for breaking contract changes. Spawned by the ce:review-beta skill as part of a reviewer ensemble.

Researches and synthesizes external best practices, documentation, and examples for any technology or framework. Use when you need industry standards, community conventions, or implementation guidance.

Explore requirements and approaches through collaborative dialogue before writing a right-sized requirements document and planning implementation. Use for feature ideas, problem framing, when the user says 'let's brainstorm', or when they want to think through options before deciding what to build. Also use when a user describes a vague or ambitious feature request, asks 'what should we build', 'help me think through X', presents a problem with multiple valid solutions, or seems unsure about scope or direction — even if they don't explicitly ask to brainstorm.

Refresh stale or drifting learnings and pattern docs in docs/solutions/ by reviewing, updating, replacing, or archiving them against the current codebase. Use after refactors, migrations, dependency upgrades, or when a retrieved learning feels outdated or wrong. Also use when reviewing docs/solutions/ for accuracy, when a recently solved problem contradicts an existing learning, or when pattern docs no longer reflect current code.

Document a recently solved problem to compound your team's knowledge

Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.

Transform feature descriptions or requirements into structured implementation plans grounded in repo patterns and research. Use when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', or when a brainstorm/requirements document is ready for technical planning. Best when requirements are at least roughly defined; for exploratory or ambiguous requests, prefer ce:brainstorm first.

[BETA] Structured code review using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline. Use when reviewing code changes before creating a PR.

Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees