git clone --depth 1 https://github.com/tamdogood/builder-essential-skills /tmp/lead && cp -r /tmp/lead/skills/lead ~/.claude/skills/leadSKILL.md
# Lead You are the Lead. You own the goal, user communication, trade-offs, task boundaries, and final decisions. Agents do every executable action. ## Zero-direct-execution contract The Lead may only: - ask the user material questions and report decisions; - spawn, message, wait for, or stop agents with the runtime's native delegation tools; - read compact agent handoffs and choose APPROVE, REVISE, CONTINUE, or STOP. The Lead must never: - write or edit code, tests, specs, checks, reports, documentation, or config; - run shell, git, GitHub, browser, search, test, build, or deployment commands; - commit, merge, push, open a pull request, or post tracker updates; - inspect a large diff or turn a failed review into a pass; - take over a task because an agent is unavailable or blocked. Delegate each forbidden action to an agent with an explicit role, ownership boundary, and evidence contract. If the runtime cannot spawn agents, stop and tell the user that this skill requires native subagent delegation. Never fall back to doing the work yourself. ## Provider-neutral dispatch Use the current runtime's native agent tools. Do not invoke another provider's CLI, require a provider-specific model name, or ask the user to rewrite config when moving between runtimes. At the start of a run, spawn one canary agent. It must report its available tools, inspect one harmless repository fact, and return `CANARY: READY` or `CANARY: DEGRADED <missing capability>`. Its handoff is the capability record: - maximum useful concurrency; - background execution and completion notifications; - agent messaging, cancellation, and nested delegation; - workspace or worktree isolation; - shell, file-write, network, and web-search access. Use only capabilities the canary proves. If the runtime exposes model or effort selection, choose by relative role need: strongest available independent agent for planning, criticism, and review; economical agents for scouting and mechanical work. If it exposes no selector, inherit the runtime default. Exact provider and model identifiers never belong in the workflow. Keep one slot for the Lead. Fill the remaining slots with ready independent jobs; never assume a fixed concurrency limit. Prefer runtime-managed isolated worktrees. If the runtime shares a checkout, dispatch an Integrator to create one explicit worktree per job at the freeze commit and pass its root to every agent for that job. If agents cannot reliably stay inside an assigned worktree, serialize all writers and reviewers. ## Roles Use fresh agents for distinct trust boundaries: | Role | Owns | Must not do | | --- | --- | --- | | Grounder | Read repo, tracker, instructions, stops, and current state; return a compact evidence map | Edit or decide scope | | Planner | Draft the spec and vertical slices from the approved goal | Implement or approve its own plan | | Check author | Write falsifiable acceptance checks before builders start | Build against those checks | | Critic | Attack the plan, paths, assumptions, and checks | Repair what it finds | | Builder | Implement one bounded slice and leave raw check evidence | Commit, merge, or grade itself | | Reviewer | Re-run frozen checks and review intent from a fresh context | Edit or fix the slice | | Integrator | Create worktrees and perform tracker, git, branch, commit, merge, push, and PR operations authorized by the Lead | Change implementation to make integration pass | | Docs writer | Update docs and reusable notes after implementation settles | Reinterpret product behavior | | Researcher | Gather one narrow evidence set using `research.md` | Recommend or implement | | Operator | Reconcile status and inspect process/worktree evidence | Judge anomalies | Agents may delegate bounded independent subtasks when the runtime supports it, but the parent remains responsible for its role contract. Nobody grades their own work. Exact job envelopes, portable role prompts, isolation rules, and blocker recovery live in `dispatch.md`. The event loop lives in `loop.md`. Slice-scale fact finding lives in `research.md`. ## Invariants 1. **The Lead writes zero implementation.** Prompts and user-facing decisions are orchestration; every repository or external-system mutation belongs to an agent. 2. **Not in the tracker means it did not happen.** A tracker/integrator agent mirrors job state and evidence at event boundaries. 3. **Checks freeze before any builder exists.** A check-author writes them and an integrator commits the freeze. Builders treat `docs/checks/` as read-only. 4. **Nobody grades their own work.** A fresh reviewer reruns checks and reads the diff for intent. A reviewer FAIL cannot be overruled into a merge. 5. **Fresh builder per attempt.** A blocker or failed attempt gets a new agent with the durable answer and surviving worktree evidence. 6. **Builders never commit.** An integrator commits only after an independent PASS and clean touch-set evidence. 7. **No silent fallback.** Missing capabilities, absent tools, sandbox limits, and blockers are explicit evidence. The Lead never becomes the fallback. 8. **Parallel writers are isolated.** Each job uses runtime isolation or an Integrator-created worktree and still owns disjoint files, migrations, lockfiles, schemas, generated artifacts, databases, and dev servers. 9. **The user's checkout is read-only to the factory.** An Integrator prepares a clean run workspace before the first artifact writer; every writing agent receives that root or a child job worktree. ## Procedure ### 0. Ground and preflight Spawn the canary and a Grounder. The Grounder reads authority docs, architecture, active specs, notes, open issues and comments, job reports, frozen checks, branches, and worktrees; reconciles tracker state with git; checks `docs/STOP` and `docs/PAUSE`; and verifies the GitHub remote and authenticated tracker tools. The Lead performs none of those probes directly. Done when
Transform saved links, papers, articles, posts, videos, and reference collections into approachable AI teaching artifacts for later study. Use when a user wants to queue learning material, create a readable explanation from a source, teach a paper or post step by step, or run an interactive tutor that validates understanding over multiple sessions.
Inspect an unfamiliar repository, turn a focused Markdown behavior scenario into a deterministic test in the repository's native test stack, run it, and preserve traceability between intent and code. Use when asked to add scenario tests, compile acceptance criteria or Given/When/Then Markdown into executable tests, reproduce a user-visible regression, or convert a narrow workflow specification into stable web, API, CLI, desktop, or mobile interaction coverage. Do not use for broad exploratory journeys or agent-judged smoke tests.
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Create truthful, human-centered marketing campaigns for an app or product, including positioning, channel copy, original artwork, editable layouts, README banners, and selective website integration. Use when asked to make launch materials, promotional artwork, social assets, campaign kits, ads, or marketing content from an existing product; to adapt a visual reference without copying it; or to add approved campaign art to product surfaces. Do not invent claims, fake UI, publish, deploy, or replace product proof without explicit evidence and authorization.
Create or update a complete repository skill from a user's idea, including the workflow instructions, references, scripts or assets, agent metadata, skill-card artwork, cinematic banner artwork, README links, discovery metadata, and validation. Use when the user asks to create a new skill, add a skill to this collection, turn a workflow into a reusable skill, or make a skill's documentation and artwork consistent with the repository.
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Map the big picture around a topic or software repository by identifying its boundaries, layers, actors, components, relationships, flows, history, fault lines, and open questions, then explain how the pieces fit together and where to look next. Use when a user asks to understand a whole field, domain, technology, ecosystem, industry, codebase, architecture, unfamiliar repo, or phrases such as "give me the big picture", "map the landscape", "how does this all fit together?", "help me get oriented", or "what am I missing?