Loading...
Loading...
Found 3,523 Skills
Rust testing with cargo test, tokio-test, and mockall. Covers unit tests, integration tests, async testing, mocking, and benchmarks. USE WHEN: user mentions "rust test", "cargo test", "mockall", asks about "#[test]", "#[tokio::test]", "proptest", "criterion", "async rust testing" DO NOT USE FOR: JavaScript/TypeScript - use `vitest` or `jest`; Java - use `junit`; Python - use `pytest`; Go - use `go-testing`; E2E browser tests - use Playwright
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
Use when a Google Sheets URL (docs.google.com/spreadsheets/d/) or raw spreadsheet ID is present, or when the user says "read the sheet", "fetch spreadsheet", "convert sheet", "doc sheet", "import from Google Sheet", "get data from sheet", "đọc sheet", "doc sheet", "lay du lieu tu sheet", "lay data tu google sheet", or wants to export, document, or convert Google Sheet data into markdown, a table, a report, or documentation. Do NOT trigger for: Excel (.xlsx), CSV, Google Docs (docs.google.com/document), databases, or how-to questions about Google Sheets.
Create production grade smart contracts. Use this skill when the user asks to write smart contracts, specially if they are going to be deployed to production (to a mainnet, or used in a mainnet script).
Tracked lightweight execution with composable rigor flags for tasks between a typo fix and a full feature. Plan + execute with optional --discuss, --research, and --full flags to add rigor incrementally. Use for "quick task", "small change", "ad hoc task", "add a flag", "extract function", "small refactor", "fix bug in X". Do NOT use for multi-component features, architectural changes, or anything needing wave-based parallel execution — those are Simple+ tier.
Validate plans against 10 verification dimensions before execution begins. Uses goal-backward analysis to catch dropped requirements, vague tasks, missing dependencies, and scope overreach. Produces PASS/BLOCK verdict with structured findings. Use for "check plan", "validate plan", "is this plan ready", "review plan before executing", or "/plan-checker". Do NOT use for plan creation (use feature-plan or workflow-orchestrator) or plan lifecycle management (use plan-manager).
Decision-first data analysis with statistical rigor gates. Use when analyzing CSV, JSON, database exports, API responses, logs, or any structured data to support a business decision. Handles: trend analysis, cohort comparison, A/B test evaluation, distribution profiling, anomaly detection. Do NOT use for codebase analysis (use codebase-analyzer), codebase exploration (use explore-pipeline), or ML model training.
Full-repo SAP Converged Cloud Go compliance audit. Reviews every package against established review standards — focusing on over-engineering, error message quality, dead code, interface contracts, copy-paste structs, and pattern consistency with keppel. Dispatches parallel agents by package group, each reading ALL sapcc rules. Produces code-level findings with actual before/after diffs. Invoked via "/sapcc-audit" or through /do.
Hugo site link health analysis: scan markdown, build internal link graph, validate paths, and report issues. Use when auditing site link structure, finding orphan pages, checking for broken internal/external links, or validating image paths. Use for "link audit", "orphan pages", "broken links", "link health", or "site link structure". Do NOT use for single-post pre-publish checks or content editing.
Safe bulk editing across multiple Hugo markdown posts: find/replace, frontmatter updates, content transforms with mandatory preview before apply. Use when user needs batch text replacement, bulk frontmatter field changes, heading/link/whitespace normalization, or regex-based content transforms across posts. Use for "batch edit", "find and replace across files", "add field to all posts", "bulk update tags". Do NOT use for single-file edits, structural refactoring, or content generation.
Statistical rule discovery through measurement of Go codebases: Count patterns, derive confidence-scored rules, produce Style Vector fingerprint. Use when analyzing codebase conventions, extracting implicit coding rules, profiling a repo before onboarding or PR automation. Use for "analyze codebase", "find coding patterns", "what conventions does this repo use", "extract rules", or "codebase DNA". Do NOT use for code review, bug fixes, refactoring, or performance optimization.
Perses-aware code review: check Go backend against Perses patterns, React components against Perses UI conventions, CUE schemas against plugin spec, and dashboard definitions against best practices. Dispatches appropriate sub-reviewers. Use for "review perses", "perses pr", "perses code review". Do NOT use for general Go/React review without Perses context.