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Found 136 Skills
Hamilton Helmer's 7 Powers framework applied to a business. Spawns a team of specialist agents — Power Cartographer, Lifecycle Timer, Counter-Positioning Scout, and Moat Devil's Advocate — who each apply a distinct lens from Helmer's taxonomy. The lead synthesizes into a Power Inventory (what you have), Power Pipeline (what's achievable given your stage), and the honest Helmer Verdict. Use when the user says "helmer this", "apply 7 powers", "what power does this company have", "is this a moat", "diagnose my competitive position", or proposes a business and wants strategic analysis. Works standalone or after /thiel (which confirms you need a monopoly) or /munger (which asks if the economics are durable).
One-time pipeline configurator. Inspects the repo (default branch, validation scripts, labels), asks a few questions, writes .ai/agentic.config.json — the file every other skill reads — installs the tracker descriptor, and generates missing project docs (SDLC.md, CODE_REVIEW.md, BACKWARD_COMPATIBILITY.md, AGENTS.md starter). Re-run when the toolchain or label taxonomy changes. Verifies cross-skill coverage and prints the install command for missing skills.
Craft CMS 5 content modeling — sections, entry types, fields, Matrix, relations, project config, and content architecture strategy. Covers everything editors and developers need to structure content in Craft. Triggers on: section types (single, channel, structure), entry types, field types, field layout, Matrix configuration, nested entries, relatedTo, eager loading, .with(), .eagerly(), categories, tags, globals, global sets, preloadSingles, propagation, multi-site content, URI format, project config, YAML, content architecture, content strategy, taxonomy, asset volumes, filesystems, image transforms, user groups, permissions, entries-as-taxonomy, entrify. Always use when planning content architecture, creating sections/fields, configuring Matrix, setting up relations, or making content modeling decisions.
Guide for EVM/solidity smart contract security work: vulnerability taxonomy, review workflow, and where to place resources in README.md.
Guides structured security log analysis across authentication, network, endpoint, and cloud audit log sources. Auto-invoked when the user shares log data, asks about suspicious events, needs help interpreting Windows Event IDs or Linux auth logs, or is establishing baselines for anomaly detection. Produces log source taxonomy, anomaly identification, baseline recommendations, and correlation findings mapped to MITRE ATT&CK v16 techniques.
Apply when asked to probe, stress, fuzz, or chaos-test a running product, feature, or PR for defects nobody has reported, or to go hunting for bugs against a live surface. Two passes: a probe pass over a closed category taxonomy, and a promotion gate that keeps only findings a real caller can reach. Promoted findings leave a committed regression test behind. The rest are dismissed with a reason, carried as an explicit gap, or escalated when the call is not the agent's to make.
Apply the formal standard for React component engineering focusing on accessibility, composition, and styling. Use for building professional, composable React artifacts. Use proactively when creating or reviewing React components. Examples: - user: "/component-create Button trigger" → build accessible button with asChild and keyboard map - user: "/component-review src/components/Input.tsx" → audit for accessibility and composition compliance - user: "Build a responsive slider" → select taxonomy type and implement with data attributes - user: "Review my layout component" → check for monolithic patterns vs composition
Audit React Doctor against ReactBench or similar diagnostic benchmark corpora for confirmed false positives, false negatives, taxonomy gaps, and verifier artifacts. Use when analyzing rd.log, rd-before.json, rd-after.json, model.patch, result.json, reward/test logs, rule distributions, or when asked to perform a second adversarial pass over React Doctor benchmark findings.
Systematic web application QA testing with structured issue taxonomy, health scoring, and regression tracking. Use this skill when the user asks for QA testing, systematic testing, smoke testing, regression testing, web app testing, browser testing, or says "QA this", "test the app", "smoke test", "run QA", "systematic test", "check the site", "regression test", "full QA", "/qa-systematic". Supports full, quick, and regression modes.
Read an academic paper end to end and extract professional research insights, figures, metadata, and critique. Use this skill whenever the user shares a scientific paper, review paper, survey paper, systematic review, meta-analysis, scoping review, arXiv link, DOI, PDF, or pasted paper text and asks to read, summarize, analyze, extract, digest, review, critique, or explain it. For original research papers, produce a modified Heilmeier analysis. For review literature, produce a field-map extraction covering scope, taxonomy, evidence quality, consensus, controversies, gaps, and future directions. Do NOT use this skill for non-academic articles, blog posts, or news.
Manages Etsy shop operations (listings, inventory, receipts/orders, shop data, taxonomy, and webhooks) via Etsy Open API v3 with OAuth 2.0 + PKCE and rate-limit-aware request handling.
Apply when writing or reviewing a spec, requirements, acceptance criteria, user stories, or tickets, before any code exists. Two passes: an edge probe over a closed taxonomy of data-shape boundaries, and a prohibition probe for what the feature must never silently become. Every raised item is resolved, dismissed with a reason, or carried as an explicit gap.