mcp-server-auth
Implements MCP server authorization - OAuth 2.1 resource server role, RFC 9728/8414 discovery, PKCE, RFC 8707 audience validation, scopes, client registration.…
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Updated 11-05 00:16
25,663 results
Implements MCP server authorization - OAuth 2.1 resource server role, RFC 9728/8414 discovery, PKCE, RFC 8707 audience validation, scopes, client registration.…
Lists all Stitch projects accessible to the user.
Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales…
Use to create or polish repo agent context files: README.md, AGENTS.md/CLAUDE.md symlinks, and existing project .agents/skills/SKILL.md files. Updates existing…
This skill should be used when the user mentions "openclaw", "OpenClaw CLI", asks to "send a message via openclaw", "manage openclaw agents", "configure…
Use when the user needs a prompt for ChatGPT, Claude, Gemini, Midjourney, Sora, or another external AI tool. Use content-writing for general copy and…
Use when producing or reviewing the saas agent unit economics and cogs component of a business plan; applies its specialist evidence, decisions, and acceptance…
Use when proving that every irreversible agent action in the audit window had a documented, signed approval — completeness check (gap-detection job),…
Use when designing UX for agentic AI, AI copilots, agent status, approvals, uncertainty, mobile and web agent workflows, and user trust surfaces.
Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was…
Use for evaluating, rewriting, refactoring, splitting, streamlining, or evolving AGENTS.md, SKILL.md, prompt architecture, skill description, and routing; also for diagnosing prompt failure, prompt failure, models not following global prompts, false triggering, missed triggering, instruction conflicts, rules placed at the wrong level, and various kinds of instruction system usage friction.
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustness
Test AI systems for code injection vulnerabilities including prompt-to-code attacks and agent exploitation
Master prompt injection attacks, jailbreak techniques, input manipulation, and payload crafting for LLM security testing
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
Brutally honest code review in the style of Linus Torvalds, focusing on data structures, simplicity, and pragmatism. Use when you want critical, no-nonsense…
Minimal interaction patterns that bootstrap complex social behaviors in distributed systems
Cross-agent session database with B3 Poset and Bumpus sheaves
World memory is world remembering is world worlding - the autopoietic loop where memory enables remembering enables worlding enables memory
Write a production-ready spec for an AI agent: scope, tools and permissions, autonomy levels, stop rules, escalation, failure modes, evals, and rollout. Use…
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what…
Guide for exposing PostHog product endpoints as MCP tools. Use when creating new or updating API endpoints, adding MCP tool definitions, scaffolding YAML…