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Found 5,674 Skills
Critical Bitcoin terminology rules to prevent confusion between bech32m (encoding) and taproot (address type). Use when working on BTC-related code, config files, or shell scripts.
Audits AI systems for bias, fairness, and privacy. Analyzes prompts and datasets to ensure ethical and safe AI implementation.
Generate architectural wikis with source code traceability. Creates comprehensive documentation including architecture overviews, module docs, data flow diagrams, and interactive static sites. Use when asked to document a codebase, generate architecture docs, create a wiki, or explain how a project is structured.
Design and UI standards for accessibility, semantic HTML, and responsive layouts
Repeatable execution process for producing clear explanations. Covers Subject and Situational frameworks, depth scaling, and relatability tools.
Configure automatic security updates on Ubuntu/Debian VPS servers to patch vulnerabilities and prevent exploitation of known security flaws.
Discovers your full tool environment and amplifies prompts with capability awareness. Suggests optimal tool compositions as non-binding options.
Analyzes and optimizes an existing agent skill for conciseness, discoverability, and adherence to best practices. Use when a skill needs improvement, is too verbose, has poor activation rates, or fails to follow progressive disclosure patterns. Do NOT use for creating a new skill from scratch — use create-skill instead.
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
Security architecture and threat modeling. OWASP Top 10 analysis, security pattern implementation, vulnerability assessment, and security review for code and infrastructure.
Systematic performance optimization and regression debugging for OneKey mobile app (iOS). Use when: (1) Fixing performance regressions - when metrics like tokensStartMs, tokensSpanMs, or functionCallCount have regressed and need to be brought back to normal levels, (2) Improving baseline performance - when there's a need to optimize cold start time or reduce function call overhead, (3) User requests performance optimization/improvement/debugging for the app's startup or home screen refresh flow.
Local-first knowledge management with markdown vaults, bidirectional linking, plugin ecosystem, and flexible sync strategies