Skills de Claude Code · página 116

>-

>-

When the user wants to automate mobile app testing on iOS and Android using Appium. Also use when the user mentions "appium," "mobile automation," "iOS testing," "Android testing," "mobile WebDriver," "XCUITest," or "UiAutomator." For React Native-specific testing, see detox.

>-

>-

>-

>-

>-

>-

Expert guidance for Arcjet, the developer-first security platform that provides rate limiting, bot protection, email validation, and attack detection as a code-first SDK. Helps developers add security layers to Next.js, Node.js, and other JavaScript/TypeScript applications without managing infrastructure.

>-

>-

>-

When the user wants to perform load testing or performance testing using Artillery with YAML-based scenario definitions. Also use when the user mentions "artillery," "YAML load test," "WebSocket testing," "Socket.io load test," "scenario-based load testing," or "artillery run." For JavaScript-based load testing, see k6.

>-

>-

>-

>-

>-

>-

>-

|

>-

>-

|

|

|

|

|

Find academic papers across 5 sources (OpenAlex / Semantic Scholar / CrossRef / PubMed / arXiv) with adjustable depth — Quick scan (5 min) to Audit prep (3 hr). Use when the user wants to find papers, run a literature search, gather references, or scope a research topic. Triggers on: search verbs ('find papers', 'literature search', 'papers about X'), review types ('scoping review', 'systematic review', 'SR prep', 'literature review', 'lit review', 'help me write a lit review'), Chinese ('找文献', '找论文', '论文搜索', '学术检索', '文献检索', '文献综述', '综述前期', '求文献'). Outputs Shadcn HTML report + BibTeX/RIS/CSV + PRISMA-S log. Do NOT use for: concept explanations ('what is X' / 'X 是什么'), writing requests ('help me write a paragraph' / '帮我写'), single-paper interpretation or PDF download with full bibliographic metadata (use paper-downloader-portable), or when the user already has a literature set ready (use literature-set-review).

Use when working with TeamCity CI/CD or when a user provides a TeamCity build URL — drives the `teamcity` CLI for builds, logs, jobs, queues, agents, pools, projects, and pipelines.

Use when a user wants to verify Link readiness, troubleshoot a local wiki, inspect interrupted writes, repair generated indexes, or back up Link without setting up MCP.

Use when a user asks to ingest raw files into Link, refresh stale source pages, propose memories from sources, or validate source-backed wiki updates through the CLI without MCP.

Use when a user asks an agent to remember, recall, review, update, archive, restore, forget, or explain local Link memories through the CLI without requiring MCP.

Use when a user asks an agent to search, answer from, summarize, brief from, or navigate Link context through the CLI without loading the whole wiki or configuring MCP.

Managing Linear issues, projects, and teams. Use when working with Linear tasks, creating issues, updating status, querying projects, or managing team workflows.

Use this skill when you need to QA audit and fix a plugin skill file. Provides a methodology for verifying skill content against official documentation, fixing issues in-place, and producing verification reports.

Use for DSPy adapter selection, JSONAdapter, XMLAdapter, ChatAdapter, native function calling, structured outputs, and multimodal inputs like dspy.Image or dspy.Audio.

Use for composing DSPy modules with Ensemble, MultiChainComparison, ensemble voting, sequential pipelines, and multi-program workflows.

Use for BetterTogether, prompt plus weight optimization, fine-tuning sequences, and strategy chains like p -> w -> p.

Use for BootstrapFewShot, bootstrapped demonstrations, teacher-model demos, and low-data DSPy prompt optimization.

Use for creating custom DSPy modules, extending dspy.Module, reusable components, stateful modules, serialization, and module testing.

Use for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.

Use for DSPy retrieval with dspy.Embedder, dspy.Embeddings, FAISS indexes, semantic search, and local or hosted embedding models.

Use for evaluating DSPy programs with Evaluate, answer_exact_match, SemanticF1, custom metrics, baselines, and program comparisons.

Use for BootstrapFinetune, fine-tuning DSPy models, teacher-student distillation, weight optimization, and lower-cost deployment.

Use for GEPA reflective optimization, ReAct agent optimization, feedback metrics, LLM reflection, and execution trajectories.

Use for integrating DSPy with Haystack, optimizing Haystack prompts, improving retrieval pipelines, and extracting DSPy prompts.

Use for MCP tools with DSPy, Model Context Protocol servers, dspy.Tool.from_mcp_tool, and ReAct agents over MCP-compatible tools.

Use for MIPROv2, Bayesian optimization, instruction and demo tuning, and high-performance DSPy program optimization.

Use for GEPA optimize_anything on text artifacts such as code, prompts, agent architectures, configs, and non-DSPy optimization targets.

Use to choose or compare DSPy optimizers including LabeledFewShot, BootstrapFewShot, MIPROv2, SIMBA, GEPA, BootstrapFinetune, Ensemble, and BetterTogether.

Use for dspy.Refine, dspy.BestOfN, output constraints, validation, reward functions, and iterative output refinement.

Use for deploying DSPy with save/load, configure_cache, restrict_pickle, track_usage, async execution, streaming, and production runtime controls.

Use for RAG pipelines, retrieval augmented generation, ColBERTv2, context retrieval, multi-hop RAG, and grounded DSPy answers.

Use for ReAct agents, tool-calling agents, dspy.ReAct, multi-step reasoning and acting, and GEPA agent optimization.

Use for DSPy reasoning modules including RLM, ProgramOfThought, CodeAct, Parallel, sandboxed execution, and long-context workflows.

Use for DSPy signatures, InputField, OutputField, typed inputs and outputs, signature classes, and Pydantic-style structured schemas.

Use for SIMBA optimization, mini-batch introspective optimization, self-reflective rules, stochastic ascent, and numeric-metric optimization.

Restructures a chaotic or overgrown MEMORY.md into a clean 2-layer architecture based on how Claude Code's autoDream system organizes memory — a lightweight pointer index (always loaded) and topic files (loaded on demand). Stale or superseded memories are deleted or corrected in place — not archived. Use this skill whenever the user says \"clean up MEMORY.md\", \"reorganize my memory files\", \"MEMORY.md is getting too long\", \"fix my memory structure\", or when you observe that MEMORY.md exceeds 200 lines, contains full paragraphs instead of pointers, or mixes index entries with topic content.

>

Use Business Adventures for "why did this fail?", "analyze this crisis", "what pattern applies?", or "what would Brooks notice?

Apply John Bogle stewardship capitalism logic to separate investing from

Apply John Bogle index investing rules for low-cost funds, asset allocation,

Developer implementation guide for adding compact memory to an Agent — covers fork agent pattern for compaction, trigger strategy, summary format design, and memory restoration in subsequent sessions. Use when a developer asks how to implement compact memory, context compression, or memory persistence in their agent built with Claude Agent SDK or Anthropic API.

Apply Jonah Berger''s STEPPS framework. Trigger on: "why is this not spreading?", "make this campaign contagious", "diagnose viral content".

Apply China contract drafting review with San Guan Si Bu Fa. Trigger on contract review, drafting, clauses, or deal structure.

Apply Brittany Hodak's SUPER Model for customer loyalty, referrals, word of mouth, personalization, service recovery, and scalable customer experience.

Analyze Wall Street conflicts. Trigger on: "can I trust this advisor?", "is this forecast reliable?", "whose interest does this serve?".

Apply Keynes policy reasoning. Trigger on: "will austerity work?", "inflation or deflation?", "analyze this economic crisis".

Analyzes Chinese public company financial statements (balance sheet, income statement, cash flow) to assess asset quality, profit authenticity, cash flow health, solvency, and overall investment value. Use when the user provides financial data or a company name and asks whether financials are healthy, whether profits are real, whether there are red flags, or whether the company is a good investment. Based on the book "一本书读懂财报" by Xiao Xing (Tsinghua University).

|

|

|

Use Graham value investing for Is this investment or speculation, defensive

Apply Pulak Prasad evolutionary investing rules for avoiding big losses,

Apply Gary Vaynerchuk social content rules for native jabs, right hooks,

Build LangChain (Python) tools using Claude Code's fail-closed design pattern — unified name/schema/security/execution in one class, with automatic three-layer execution (validate → permission → call). Use this skill whenever the user wants to define a new LangChain tool, add permission or validation logic to an existing tool, set up the ClaudeStyleTool base class in a project, or asks about "build_tool", "Claude Code style tool", "工具定义", or "langchain tool with permissions". Also trigger when the user says "create a tool for X" or "定义一个工具" in a LangChain Python project context, even without mentioning Claude Code explicitly.

Apply Howard Marks investing judgment for second-level thinking, price

Apply Charlie Munger mental models to investments, decisions, and bias diagnosis. Trigger on Munger checklist or spot biases.

Apply The Outsiders CEO framework to assess capital allocation, per-share

Apply Ryan Holiday''s perennial seller framework. Trigger on: "will this work last?", "position my book/product", "build an enduring launch".

Implement a production-ready LLM query loop / agent loop for AI applications. Use this skill whenever the user wants to add tool calling, ReAct-style reasoning-action-observation cycles, function calling loops, query engines, agent runtimes, tool_result feedback, max-turn exits, or Claude Code-like Agent Loop behavior to their own product or codebase.

Audit SEO metadata such as title, description, headings, alt, robots,

End-of-session memory distillation — extracts key decisions, eliminated approaches, new discoveries, and current blockers from the current conversation and writes them to MEMORY.md topic files. Based on Claude Code's autoDream background consolidation service. Activate when the user says "dream", "/dream", "save session memories", "distill this session", "what should I remember from this session", or when a long productive session is ending and the user wants to preserve what was learned.

Apply Austin Kleon''s sharing framework. Trigger on: "what should I share?", "build an audience", "document my creative process".

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Apply Austin Kleon creative practice for idea theft, remixing, starting

>

Use StoryBrand for "clarify my message", "rewrite my homepage", "create a BrandScript", "what is my one-liner", or "fix my CTA".

Apply Seth Godin''s marketing framework. Trigger on: "find my smallest viable audience", "position this offer", "earn trust".

Design and implement a layered, configurable permission/safety system for agent tools. Use this skill when building an agent that needs to control which tool calls are auto-allowed, which require user confirmation, and which are denied — especially when the system must be configurable across multiple scopes (project/user/enterprise) and extensible via hooks. Triggers on: "权限系统", "工具安全", "tool permission", "permission system", "tool safety", "allow/deny rules", "hook system", "构建安全机制".

Apply Steven Pressfield resistance diagnosis for procrastination, turning

Define agent tools using the fail-closed design pattern — unified name/schema/security/execution in one class, with three-layer execution (validate → permission → call). Use this skill whenever the user wants to define a new agent tool, add permission or validation logic to an existing tool, or asks about 'build a tool', '定义一个工具', 'create a tool for X', '工具定义'. Framework-agnostic: works with hermes-agent, LangChain, or any Python agent framework.

|

Token-efficient smart contract security auditing via Behavioral State Analysis (BSA). Scopes analysis to contract type, runs only relevant threat engines, and uses tiered output depth. Use for auditing smart contracts, security reviews, or DeFi threat modeling.

Blue-team release-gate analysis for smart contract deployment and upgrade readiness. Classifies repositories, checks deploy/upgrade execution paths, CI/CD trust boundaries, config drift, secrets/signer operational security, and outputs evidence-backed release verdicts.

Detects Denial of Service and griefing vulnerabilities in smart contracts. Covers unbounded loop DoS, block gas limit exhaustion, external call failure DoS, insufficient gas griefing (63/64 rule), storage bloat attacks, timestamp griefing, self-destruct force-feeding, and push vs pull payment pattern analysis. Use when auditing contracts with batch operations, loops over user data, reward distribution, dividend systems, or any logic that depends on address(this).balance or iterates over growing collections.

Detects unsafe external call patterns and token integration vulnerabilities in smart contracts. Covers unchecked call/delegatecall/staticcall return values, fee-on-transfer tokens, rebasing tokens, tokens with missing return values (USDT), ERC-777 callback risks, unsafe approve race conditions, return data bombs, gas stipend limitations, and push vs pull payment patterns. Use when auditing contracts that interact with external contracts, integrate arbitrary ERC20 tokens, distribute payments, or make low-level calls.

Detects input validation failures and arithmetic vulnerabilities in smart contracts. Covers missing zero-address and zero-amount checks, division-before-multiplication precision loss, rounding direction exploitation, ERC4626 vault share inflation attacks, unsafe integer casting, dust amount exploitation, and Solidity 0.8+ unchecked block edge cases. Use when auditing contracts with fee calculations, share pricing, exchange rates, unchecked blocks, or any public-facing functions that accept user input.