Loading...
Loading...
Found 2,533 Skills
Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network signals, reputation signals, red flags, 3-5 conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica Nonprofit Explorer) as workhorses; optional BYOK MCPs (LinkedIn, Crunchbase, Apollo, Pitchbook, SimilarWeb) enhance coverage. Triggers: 'research [company]', 'dossier on [person/company]', 'background check on [entity]', 'prep me for a meeting with [person/company]', 'due diligence on [company]', 'what should I know about [entity]', 'research [person] before I [meet/hire/invest]', 'competitor research on [company]', 'investor diligence [company]', 'interview prep for [company]'. Honors sensitivity exclusions for journalism + personal-vetting contexts.
Generate a requirements-quality checklist for an OpenSpec change and run it against the proposal/design/tasks/delta — validating completeness, clarity, consistency, and testability BEFORE you approve the spec. Modeled on GitHub Spec-Kit's /checklist. Use when reviewing a spec at the human approval gate, or before launching implementation, to catch under-specified requirements early.
Guidance for detection engineering in Microsoft Sentinel — building, testing, deploying, and maintaining analytics rules, hunting queries, and SOAR automation. Covers the Content Hub solution model, MITRE ATT&CK mapping, scheduled vs near-real-time (NRT) vs Fusion vs anomalies analytics, KQL detection patterns (joins, summarize, bin, materialize), entity mapping and incident enrichment, custom detections from Defender XDR vs Sentinel-only, automation rules, playbooks (Logic Apps), watchlists, threat intel matching, content as code with Azure DevOps / GitHub repositories integration, and detection lifecycle (validate → tune → version). WHEN: Sentinel analytics rule, KQL detection, MITRE mapping, Sentinel content hub, scheduled analytics, NRT rule, hunting query, Sentinel automation rule, Logic App playbook, custom detection, repositories Sentinel CI/CD, detection-as-code, watchlist, threat intel matching analytics, fusion alerts, anomalies, incident enrichment, entity mapping. DO NOT USE for Sentinel architecture/onboarding (use sentinel), Defender XDR custom detections only (overlap—use the side that owns the data), or generic KQL training.
Audit and harden your SaaS tool stack — enforce SSO, review OAuth grants, manage shadow IT, and secure admin accounts across Slack, GitHub, Google Workspace, and AWS. Use when tightening security across company SaaS tools.
Package and release a finished game mod. Covers the pre-release lint (no game files, decompiled code or leaked keys), README and install steps, credits and AI disclosure, versioning, where to upload (Nexus Mods, Steam Workshop, Thunderstore, mod.io, GitHub releases), and the post with a video. Use when the user wants to ship, share, upload, release or post a mod.
Getting a CrewAI crew or flow onto CrewAI AMP: the project shape the build expects (uv.lock, [tool.crewai] type, src/<pkg>/ entry points, a real Flow subclass, absolute imports, a self-contained root), `crewai deploy validate`, the three deploy paths (CLI create/push, GitHub, ZIP upload) and what each one actually uploads, env vars per deployment and what the CLI re-sends from .env, provider keys and extras, and machine-wide org selection. Use when running `crewai deploy create` / `crewai deploy push` / `crewai deploy validate`, when a deploy says Online but runs old code, old env values or lost a key, or when pasting errors like `missing_lockfile`, `Crew class annotated with @CrewBase not found`, `No Flow subclass found`, `Expected to find at least one of these files: uv.lock or poetry.lock`, `OPENAI_API_KEY is required`, `Anthropic native provider not available`, `deployment_not_found`, `git_clone_failure`, `Automation error, fix the code and deploy again`, or `pyproject.toml not found`.
Turns an approved cut into the finished video in a creator's measured style. Takes cut.mp4 from the cut skill plus a style.json (from start or creator-teardown), plans captions and zooms to match the creator, adds visuals timed to the spoken word (the user's own images, real screenshots, posts and logos of what is named, the line marked on the real page; no type cards, stock icons or emoji), shows the stills on the review page for approval, then renders 9:16 or 16:9 with Remotion on the laptop, Modal, GitHub Actions or the user's AWS Lambda, and can export the edit to Final Cut, Premiere, Resolve or CapCut. Use when a cut already exists and the user says "style it", "now add the style", "add captions and zooms", "add my images to the video", "render the edit", "change the captions", "export to Final Cut" or "send it to Premiere". Not for a raw take or a first request to edit a video like a creator (that is start), not for cutting mistakes out (cut), and not for measuring a creator (creator-teardown).
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Diagnose Clash proxy and network connection issues. Use this when users encounter network problems such as inability to connect to the network, proxy not working, GitHub/Google timeouts, DNS anomalies, TUN mode failures, etc.
Connect to any external app and perform actions on it. Use when the user wants to interact with external services like Slack, Linear, HubSpot, Salesforce, Jira, GitHub, Google Sheets, or any other app — send messages, create tasks, sync data, manage contacts, or perform any API operation.
[WHAT] Universal content intake system for URLs (GitHub repos, YouTube videos, articles, PDFs) and skill packages (skills.sh, skill:// protocol) [HOW] Phase 1: Clone repos/fetch transcripts/scrape content/resolve skills to ~/lev/workshop/intake/. Phase 2-3: Load workshop/intake.md for full analysis [WHEN] Use when user provides a URL to analyze, says "intake/download", wants to evaluate external content, or references a skill package [WHY] Systematically evaluates external content and skill packages for adoption/adaptation with tier classification and ADR creation Triggers: "intake", "download", "analyze this url", "check out this repo", "review this video", "evaluate content", "install skill", "skill://"
Query APIs, files, and live sources using Coral SQL. Use when the user asks about data from GitHub, Slack, Linear, Datadog, Sentry, or other connected sources.