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Found 1,501 Skills
Use when you need to explain why your solution works and others failed. Trigger on "unique mechanism", "why this works", "different angle", "positioning".
When the user wants to analyze how their social media posts are performing. Also use when the user mentions 'analytics,' 'performance,' 'how did my posts do,' 'engagement,' 'impressions,' 'what's working,' 'post metrics,' 'my best posts,' or 'why isn't this post performing.' Uses BlackTwist analytics when available, works from user-provided data otherwise. For audience growth specifically, see audience-growth-tracker-sms. For pattern detection, see content-pattern-analyzer-sms. For actionable next steps, see optimization-advisor-sms.
NTLM relay and authentication coercion playbook. Use when capturing and relaying NTLM authentication to escalate privileges via SMB, LDAP, HTTP, or MSSQL relay targets, combined with PetitPotam, PrinterBug, and other coercion methods.
Create and manage agent graphs — directed graphs of AI Configs connected by edges with handoff logic. Use when building multi-agent workflows where configs route to each other.
Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.
Research on Historical Isomorphism and Standard Answers. Abstract the complex dilemma the user is facing into a structural fingerprint, search for truly isomorphic successful cases, failed cases, and counterexamples in business history, management history, technology history, career history, and institutional history. Compare the constraints, decisions, and outcomes of the parties involved, and extract recurring solutions, applicable conditions, and failure boundaries. Trigger methods: /dbs-standard-answer, /标准答案 (Standard Answer), "Who faced similar problems in history?", "Has anyone encountered this situation before?", "How did they resolve it back then?", "Is there a classic solution to this problem?", "First help me find historical analogies?", "What was the standard answer in the past?". Find structurally analogous historical cases and evidence-backed standard answers. Use when the user wants to situate a current dilemma in history, compare how others addressed it, and extract recurring mechanisms with conditions and limits.
Implement OAuth 2.0 authentication with GitHub and Microsoft Entra (Azure AD) in Cloudflare Workers and other edge environments. Covers provider-specific quirks, required headers, scope requirements, and token handling without MSAL. Use when: implementing GitHub OAuth, Microsoft/Azure AD authentication, handling OAuth callbacks, or troubleshooting 403 errors in OAuth flows.
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
Guidelines for contributing commands in VS Code extensions. Indicates naming convention, visibility, localization and other relevant attributes, following VS Code extension development guidelines, libraries and good practices
Use this skill when creating short-form social media content for LinkedIn, Twitter/X, or other platforms
Use when translating captions/captions to another language. Supports bilingual output and context-aware translation. Default uses Claude native, Gemini API optional.
The meta-skill that powers all other AI tools. Prompt engineering for creative applications is the art and science of communicating with AI models to produce exactly what you envision—in images, video, audio, and text. This isn't just "write better prompts." It's understanding how different models interpret language, how to structure requests for different modalities, how to iterate systematically, and how to build prompt libraries that encode your creative vision. The best prompt engineers have developed intuition for what words trigger what responses in each model. This skill is foundational—it amplifies the effectiveness of every other AI creative skill. Master this, and you master the interface to all AI creation. Use when "prompt, prompting, prompt engineering, better prompts, prompt optimization, how to prompt, prompt strategy, prompt library, prompt template, make AI understand, prompt-engineering, prompting, meta-skill, ai-creative, foundational, optimization, iteration" mentioned.