implement
Implement a piece of work based on a spec or set of tickets.
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
39,539 results
Implement a piece of work based on a spec or set of tickets.
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create…
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up…
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point…
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
Guide resilient production-app code involving jobs, queues, webhooks, persistence, APIs, retries, concurrency, observability, idempotency, backpressure,…
Use when dependency documentation, examples, or source code are needed.
Guide Python design patterns, refactoring, and architecture decisions. Use when deciding whether to add an abstraction, splitting tangled code, choosing…
Profile and optimize Python performance bottlenecks. Use when Python code is slow, memory-heavy, CPU-bound, I/O-bound, latency-sensitive, or needs…
Design and implement Python tests with pytest, fixtures, mocking, parametrization, and regression coverage. Use when writing tests, setting up a test suite,…
Tell the agent to zoom out and provide broader context or a higher-level view. Use when you are unfamiliar with a piece of code or need to understand how it fits into the bigger picture.
Apply backend patterns — queues, caching, rate limits, serverless/edge. Use when "queue jobs", "caching layer", "rate limiting", "server actions", or "edge…
Design REST and GraphQL APIs: naming, versioning, error shapes, auth. Use when "design an API", "create endpoints", "structure my API responses", "plan API…
Transform into 31 specialized AI personalities on demand - from Dev (coding) to Chef Marco (cooking) to Dr. Med (medical). Switch mid-conversation, create…
Use for `kongctl`-managed Konnect declarative repos: author YAML, model APIs from OpenAPI, and run plan/diff/apply/sync/delete/adopt workflows or CI/CD. Do not…
Discuss and brainstorm a spec-driven change from a rough idea, then propose a change name and, after explicit confirmation, generate the same five proposal…
Data Transfer Objects using Spatie Laravel Data. Use when handling data transfer, API requests/responses, or when user mentions DTOs, data objects, Spatie…
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output…
Guidance for generating legal chess moves using only regex pattern matching and substitution. This skill applies when implementing chess move generators…
Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.
Give text-only coding agents low-token image understanding through compact Visual Evidence Packets.
Reads and normalizes a company's financial statements to extract clean valuation inputs. Performs accounting adjustments including R&D capitalization,…
Development guide for the built-in Python strategy engine of the QMT client (XunTou Ultra-Fast Strategy Trading System), covering strategy writing, backtesting, live trading, built-in API reference, and code examples (based on ContextInfo/passorder/get_trade_detail_data, etc., not the xtquant library). When users need to write/backtest/run strategies in the QMT client, query...