调试
定位并修复问题，分析错误
mcp-cloudflare
Heyvhuang
"Manage Workers/KV/R2/D1/Hyperdrive via Cloudflare MCP, perform observability/build troubleshooting/audit/container sandbox operations. Triggers: worker/KV/R2/D1/logs/build/deploy/screenshot/audit/sandbox. Three permission tiers: Diagnose (read-only), Change (write requires confirmation), Super Admin (isolated environment). Write operations must follow read-first, user confirmation, post-execution verification."
test-first-executor
strikersam
Write or update tests before (or alongside) implementation. Ensures every code change is verifiably correct before merging.
skill-improver
Heyvhuang
"Improve skills and workflows by analyzing run artifacts and execution logs (events.jsonl/state.json) under runs/ (or OpenSpec changes/). Use when you want to iterate on skills based on real runs: find failure modes, bottlenecks, unclear prompts, missing I/O contracts, and propose concrete edits."
debug:flask
SnakeO
Debug Flask applications systematically with this comprehensive troubleshooting skill. Covers routing errors (404/405), Jinja2 template issues, application context problems, SQLAlchemy session management, blueprint registration failures, and circular import resolution. Provides structured four-phase debugging methodology with Flask-specific tools including Werkzeug debugger, Flask-DebugToolbar, and Flask shell for interactive investigation.
karpathy-guidelines
strikersam
Andrej Karpathy's coding guidelines for AI agents — concise, correct, and well-tested code
auth-implementation-patterns
ynulihao
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
commit
Casper-Studios
Generate commit messages following conventional commits and commit staged changes. Use when creating commits or when user invokes /commit.
casper-design-system
Casper-Studios
Casper Studios internal design system for generating consistent, production-grade SaaS UI. Use this skill whenever generating UI code for internal tools, client apps, dashboards, POCs, prototypes, or any visual interface — even quick mockups or artifacts. Apply it any time the output is a React component, page, or layout. If the user mentions "our design system", "Casper style", "match our look", or asks you to build any kind of app or interface, use this skill. Also trigger when restyling or theming existing UI to match Casper's visual language. This skill takes priority over generic frontend-design guidance.
code-quality-reviewer
devstefancho
Comprehensive code quality review focusing on DRY (Don't Repeat Yourself), KISS (Keep It Simple, Stupid), and Clean Code (Easy to Read) principles. Use when reviewing code changes, analyzing code quality, or assessing code maintainability for any feature, bug fix, or refactoring task.
pr-comments
Casper-Studios
Triage unresolved PR review comments, produce a severity-ordered fix plan, then resolve or fix each issue with subagents. Use when addressing PR feedback before merge.
fix-sentry-issues
brianlovin
Use Sentry MCP to discover, triage, and fix production issues with root-cause analysis. Use when asked to fix Sentry issues, triage production errors, investigate error spikes, or clean up Sentry noise. Requires Sentry MCP server. Triggers on "fix sentry", "triage errors", "production bugs", "sentry issues".
simplify
brianlovin
Simplify and refine recently modified code for clarity and consistency. Use after writing code to improve readability without changing functionality.
knip
brianlovin
Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.
workflow
brianlovin
"Workflow orchestration for complex coding tasks. Use for ANY non-trivial task (3+ steps or architectural decisions) to enforce planning, subagent strategy, self-improvement, verification, elegance, and autonomous bug fixing. Triggers: multi-step implementation, bug fixes, refactoring, architectural changes, or any task requiring structured execution."
sentry
brianlovin
Sentry error monitoring and performance tracing patterns for Next.js applications.
react-doctor
brianlovin
Diagnose and fix React codebase health issues. Use when reviewing React code, fixing performance problems, auditing security, or improving code quality.
sveltekit-data-flow
spences10
SvelteKit data flow guidance. Use for load functions, form actions, server/client data, and invalidation. Covers +page.server.ts vs +page.ts, serialization, fail(), redirect(), error(), invalidateAll().
sveltekit-structure
spences10
SvelteKit structure guidance. Use for routing, layouts, error handling, SSR, or svelte:boundary. Covers file naming, nested layouts, error boundaries, pending UI, and hydration.
test-driven-development
brobertsaz
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first
linear-combination
unitarylab
Analytic quantum gradient and Quantum Geometric Tensor (QGT) estimation via linear combination of unitaries (LCU). Supports Estimator (expectation value gradients), Sampler (probability distribution gradients), and QGT primitives with configurable derivative types.
parameter-shift
unitarylab
Analytic quantum gradient estimation via the parameter shift rule. Supports both Estimator (expectation value gradients) and Sampler (probability distribution gradients) primitives. Requires circuits composed exclusively of supported gate types.
quantum-skills
unitarylab
Root entrypoint for the quantum-skills package. Use this skill to route requests to the correct simulator or algorithm sub-skill, enforce full skill-chain reading before coding, and avoid duplicating implementation details that are already defined in leaf skills.
algorithms
unitarylab
A top-level index of quantum algorithms centered on the UnitaryLab implementation, covering quantum primitives, linear systems, cryptography, Hamiltonian simulation, Schrodingerization, quantum machine learning, eigensolvers, gradients, and quantum error correction, with selected Qiskit, PennyLane, and Classiq examples included as reference extensions.
quantum-signal-processing
unitarylab
A quantum algorithm for signal processing tasks, leveraging quantum phase estimation and amplitude amplification techniques to achieve efficient signal analysis and transformation. This skill includes implementations and educational resources for understanding and utilizing quantum signal processing algorithms in various applications.