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Found 1,501 Skills
Research on Historical Isomorphism and Standard Answers. Abstract the complex dilemma the user is facing into a structural fingerprint, search for truly isomorphic successful cases, failed cases, and counterexamples in business history, management history, technology history, career history, and institutional history. Compare the constraints, decisions, and outcomes of the parties involved, and extract recurring solutions, applicable conditions, and failure boundaries. Trigger methods: /dbs-standard-answer, /标准答案 (Standard Answer), "Who faced similar problems in history?", "Has anyone encountered this situation before?", "How did they resolve it back then?", "Is there a classic solution to this problem?", "First help me find historical analogies?", "What was the standard answer in the past?". Find structurally analogous historical cases and evidence-backed standard answers. Use when the user wants to situate a current dilemma in history, compare how others addressed it, and extract recurring mechanisms with conditions and limits.
Implement OAuth 2.0 authentication with GitHub and Microsoft Entra (Azure AD) in Cloudflare Workers and other edge environments. Covers provider-specific quirks, required headers, scope requirements, and token handling without MSAL. Use when: implementing GitHub OAuth, Microsoft/Azure AD authentication, handling OAuth callbacks, or troubleshooting 403 errors in OAuth flows.
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
Guidelines for contributing commands in VS Code extensions. Indicates naming convention, visibility, localization and other relevant attributes, following VS Code extension development guidelines, libraries and good practices
Use this skill when creating short-form social media content for LinkedIn, Twitter/X, or other platforms
Use when translating captions/captions to another language. Supports bilingual output and context-aware translation. Default uses Claude native, Gemini API optional.
The meta-skill that powers all other AI tools. Prompt engineering for creative applications is the art and science of communicating with AI models to produce exactly what you envision—in images, video, audio, and text. This isn't just "write better prompts." It's understanding how different models interpret language, how to structure requests for different modalities, how to iterate systematically, and how to build prompt libraries that encode your creative vision. The best prompt engineers have developed intuition for what words trigger what responses in each model. This skill is foundational—it amplifies the effectiveness of every other AI creative skill. Master this, and you master the interface to all AI creation. Use when "prompt, prompting, prompt engineering, better prompts, prompt optimization, how to prompt, prompt strategy, prompt library, prompt template, make AI understand, prompt-engineering, prompting, meta-skill, ai-creative, foundational, optimization, iteration" mentioned.
SQL query optimization and database performance specialist. Use when optimizing slow queries, fixing N+1 problems, designing indexes, implementing caching, or improving database performance. Works with PostgreSQL, MySQL, and other databases.
This skill provides comprehensive guidance for inter-agent communication using the Synapse A2A framework. Use this skill when sending messages to other agents via synapse send/reply commands, understanding priority levels, handling A2A protocol operations, managing task history, configuring settings, or using File Safety features for multi-agent coordination. Automatically triggered when agent communication, A2A protocol tasks, history operations, or file safety operations are detected.
This skill should be used at natural checkpoints (after completing complex tasks, at session end, or when friction occurs) to reflect on skill and process execution and identify targeted improvements. Use when experiencing confusion, repeated failures, or discovering new patterns that should be codified into skills for smoother future operation.
Build requirements specification through structured discovery interview. Use when defining scope, gathering requirements, or specifying WHAT work should accomplish - features, bugs, refactors, infrastructure, migrations, performance, documentation, or any other work type. Triggers: spec, requirements, define scope, what to build.
Run Flawfinder SAST scans on C/C++ code. Detects buffer overflows, format string vulnerabilities, race conditions, and other memory safety issues.