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Found 9,306 Skills
Find and evaluate research datasets for any scientific question. Teaches how to reason about data needs, search across public repositories, evaluate dataset fitness, and identify access requirements. Use whenever users ask to find data, search for datasets, identify cohort studies, or need data for analysis. Also use when users ask about a specific survey or cohort (NHANES, HRS, UK Biobank, TCGA, etc.), when they want to know what data exists for a research question, or when they need to compare available data sources. If the user mentions "where can I get data" or "is there a dataset for X", this is the right skill.
Drug mechanism of action investigation -- systematic strategy to trace a drug from its primary target through pathways to clinical outcomes, identify off-target effects, and combine regulatory labels with literature evidence for a complete mechanism picture.
Orderbook depth (5/10-level bid/ask), broker queue (HK only), and tick-by-tick trades for stocks via Longbridge Securities. Use for orderbook microstructure questions. Triggers: "盘口", "买卖盘", "5 档", "10 档", "深度", "经纪商队列", "逐笔", "tick", "成交明细", "盤口", "買賣盤", "5 檔", "10 檔", "經紀商隊列", "逐筆", "成交明細", "depth", "orderbook", "level 2", "broker queue", "tick data", "trades", "time and sales".
Use when writing, fixing, editing, or refactoring React tests with Testing Library, user-event, component rendering, accessibility queries, async UI, mocks, brittle fixtures, test data builders, or behavior coverage.
Replicate and validate a GitHub issue by spinning up Archon, analyzing the issue, and systematically testing all described symptoms using browser automation. Use when: User wants to reproduce a bug, validate a GitHub issue, confirm a reported problem, or investigate whether an issue is real before working on a fix. Triggers: "replicate issue", "reproduce issue", "validate issue", "confirm bug", "test issue", "can you reproduce", "try to replicate", "verify the bug". Capability: Checks out main, pulls latest, starts Archon, reads the GitHub issue, then uses agent-browser to systematically test every symptom and produce a findings report. NOT for: Fixing issues (use /archon or /exp-piv-loop:fix-issue), general UI testing (use /validate-ui).
Use when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.
Professional workflow for creating bespoke vector and complex raster icons. Supports Design (visual), Path (vector-driven), Desire (conceptual), and 3D/complex chroma-key modes. Features AI prompt engineering, automated binarization, improved alpha cleanup, and SVG optimization.
Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. Intercepts deploy commands and blocks until critical items pass. Stack-agnostic. Use for "run ship gate", "am I ready to ship", "pre-launch audit", "can I deploy", "push to production", "go live checklist", "preflight check". Not for CI/CD setup or infra provisioning.
NCAA cross country and track & field athlete data via TFRRS (tfrrs.org) and news via The Stride Report. Fetch athlete profiles including all personal records (PRs), eligibility year, school, full season-by-season results history, and XC/TF news. Zero config, no API keys. Use when: user asks about NCAA cross country, NCAA track and field, college running, TFRRS athlete profiles, personal records, PRs, XC or TF season results, individual athlete performance history, or XC/TF news. Don't use when: user asks about professional track, Diamond League, or other sports — use nfl-data, nba-data, wnba-data, nhl-data, mlb-data, golf-data, cfb-data, cbb-data, tennis-data, fastf1, or volleyball-data. For betting use polymarket or kalshi.
Test web application email functionality for SMTP header injection vulnerabilities that allow attackers to inject additional email headers, modify recipients, and abuse contact forms for spam relay.
Explains business financial terms and frameworks for engineering managers — produces term definitions (ARR, COGS, CAC, LTV, gross margin, burn rate, EBITDA, AARRR), translation formulas for making engineering work visible in business language, and a three-layer framework for building business credibility. Use when the user says "business terms," "EBITDA," "burn rate," "CAC," "LTV," "gross margin," "ARR," "how do I speak to business people," "I don't understand finance," "make the case for engineering work," "connect engineering to business outcomes," "talk to the P&L owner," or "business impact." Do NOT use when the user wants to connect engineering metrics (DORA, velocity) to business metrics — use developer-productivity instead.
Registers functions and triggers on the iii engine across TypeScript, Python, and Rust. Use when creating workers, registering function handlers, binding triggers, or invoking functions across languages.