Loading...
Loading...
Found 5,542 Skills
Use when writing, fixing, or editing TypeScript code that touches APIs, JSON, environment variables, storage, databases, browser APIs, SDKs, generated clients, or other external boundaries.
Resolve Git merge conflicts by extracting only unresolved paths, conflict hunks, and compact diffs instead of loading whole files into context. Use when a merge, rebase, cherry-pick, or stash pop stops on conflicts, when `git status` shows unmerged paths, or when files contain conflict markers.
Fix compilation errors, linting issues, and test failures in the warp Rust codebase. Covers presubmit checks, WASM-specific errors, and running specific tests. Use when the user hits build errors, clippy or fmt failures, test failures, or needs to run or interpret presubmit before a PR.
Write, rewrite, or normalize structured `*.spec.md` specification files for agent-driven development. Use this whenever the user asks for a spec, requirements, acceptance criteria, implementation-ready documentation, feature definition before coding, or wants an existing idea/codebase turned into an actionable spec, even if they do not explicitly say "spec".
Apply or draft TOGAF-aligned enterprise architecture artifacts using ADM phases, four architecture domains, baseline-to-target analysis, governance, and migration planning.
Use when the user wants to implement a development plan from docs/plans/<FR-N>.md against the target codebase. Drives the task loop — reads the plan, implements each `[ ]` task as a vertical slice (code + test + typecheck + lint), commits per task with conventional commits, marks `[x]` in the same commit, then finalizes by proposing a PR. Triggers on "execute the plan", "implement docs/plans/FR-001.md", "run the dev loop on FR-001", "ship FR-001", "/execute FR-N".
This skill should be used when the user wants to check whether an agent skill is portable across providers. Common triggers include "is this skill cross-provider safe", "will my skill work in cursor", "audit skill compatibility", "check if this loads in codex", and "which providers support this skill". Spawns one agent per provider in parallel using bundled provider-doc snapshots (refreshed on cadence — never fetched at runtime) and produces a compatibility matrix plus a COMPAT.md report. Skip when authoring a new skill (use skill-creator) or rerunning baselines (use skill-eval).
Use when the user wants to bootstrap a target codebase for AI-driven development with Claude Code. Generates a concise CLAUDE.md grounded in the actual stack (build tools, test runner, code style), creates a docs/ folder skeleton (designs/, prd/, plans/), and seeds conventions (conventional commits, plan-checkbox format, where designs and PRDs live). Triggers on "init Claude in this repo", "set up CLAUDE.md", "bootstrap docs folder", "prepare this project for Claude Code", "scaffold AI dev workflow", "/init this project".
Autonomous rule adherence checker. Scans the codebase for rule violations, fixes the highest-impact ones in an isolated worktree, runs full validation, creates a PR. Uses memory to track progress across runs.
The PRIMARY development workflow for the Archon project (remote-coding-agent). Use this skill instead of any PRP skills when working on Archon code. Routes to 10 specialized cookbooks based on what the user is trying to do: RESEARCH — "how does the orchestrator work?", "where is session state defined?", "trace the workflow execution flow", "what is IWorkflowStore?" INVESTIGATE — "should we use Drizzle or Prisma?", "what's the best way to add WebSockets?", "can we migrate to Turso?", "how do other projects handle rate limiting?" PRD — "write a PRD for dark mode", "spec out the notification feature", "product requirements for webhook retry" PLAN — "plan the auth refactor", "design the caching layer", "create an implementation plan for #42" IMPLEMENT — "implement the plan", "execute .claude/archon/plans/auth.plan.md", "build the feature from the plan", "code this up" REVIEW — "review PR #123", "review my changes", "code review the diff" DEBUG — "debug the failing test", "why is streaming broken?", "root cause analysis on the timeout issue" COMMIT — "commit these changes", "commit the auth refactor" PR — "create a PR", "open a pull request for this branch" ISSUE — "report this to gh", "create a gh issue", "log it in github", "file a bug for this", "create a feature request" This skill triggers on ANY development task: researching, investigating, planning, building, reviewing, debugging, committing, or shipping code. NOT for: Running Archon CLI workflows in worktrees (use /archon instead).
Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Covers provisioner timing races, SSH connection conflicts, DNS record duplication, volume permissions, database bootstrap gaps, snapshot cross-contamination, Cloudflare credential format errors, hardcoded domains in Caddyfiles/compose, and init-data-only-on-first-boot pitfalls. Activate when writing null_resource provisioners, creating multi-environment Terraform setups, debugging containers that are Restarting/unhealthy after terraform apply, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts. Also activate when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, or Caddy/gateway configuration.
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.