Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies…
Inspect and manage the cross-session engineering memory that Memanto maintains for your Claude Code skills. Use when the user asks what Memanto remembers, wants to see their engineering profile, manually recall context for a skill, or store a decision. The automatic lifecycle hooks handle capture/injection on their…
Correlate near-in-time events across PR merges, deploys, monitoring (Sentry/NewRelic/Datadog/AppDynamics) and ticket trackers (Jira/Azure DevOps) into confidence-scored clusters that answer "which deploy caused this bug" without manual tab-switching.
A declarative routing engine that turns ticket / error attributes (reporter, label, project, area path, error class, environment) into a tag + AI agent + priority assignment, so cross-source workflows ("security tickets always go to the OWASP reviewer") stay out of code and in user-editable rules.
A paranoid OWASP-Top-10-aware system prompt for AI code review that traces data flow, treats every input as malicious, maps each finding to an OWASP category, and outputs a structured Summary / Findings / Severity / Score block reviewers can act on.
Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context. The bundled Python scripts make no network calls and have zero third-party dependencies. The parent repository also contains a TypeScript engine (not included in…
Add Grantex delegated authorization to an agent, CLI tool, API, MCP server, or framework integration. Use when implementing or reviewing agent identity, scoped grants, consent, JWT verification, tool manifests, service-boundary enforcement, audit logging, delegation, or revocation, and when choosing among the Grantex…
Enterprise implementation guardrails for Grantex Commerce V1 across grantex.dev and agenticorg.ai. Use when reviewing, planning, implementing, testing, or signing off Grantex Commerce, agentic commerce, merchant AI-native onboarding, MCP/UCP/ACP publishing, merchant catalog/inventory/pricing, Commerce Passports…
Post-merge verification pass for Grantex. After any PR merges to main or ships to prod, run this pass without being asked — verify README, Mintlify docs, landing page, SDK READMEs (TS, Python, Go), integration docs, and SEO surfaces are consistent with what just shipped. Use this skill whenever a PR merges, a release…
Evidence-backed web research with citations and confidence scores. Use when the user needs researched, verified answers backed by real sources — not LLM hallucinations.
Teach Claude Code to self-govern using SidClaw — check policies before risky actions, wait for human approval on flagged ones, and record every outcome. Use when you want the agent to self-instrument governance without hooks, or alongside hooks for explicit control.
ZIRAN is an open-source security testing framework for AI agents. It discovers dangerous tool chain compositions via knowledge graph analysis, detects execution-level side effects (not just text output), and runs multi-phase trust exploitation campaigns that model real attacker behavior.
This skill should be used when designing CrewAI crews with YAML-first architecture. Use it to create crews, configure agents and tasks, select processes, and generate validation-ready outputs.
This skill should be used when designing CrewAI Flows with typed state management, deterministic routing, and event-driven orchestration. Use it for flow architecture, state transitions, control primitives, and production deployment.
This skill should be used when selecting CrewAI built-in tools, composing agent toolchains, or creating production-ready custom tools with BaseTool or @tool, including schema validation, dependency management, caching, async support, and testing.
This skill should be used when the user wants to "agent-to-agent communication", "A2A protocol", "inter-agent messaging", "agent network", "agent federation", "cross-agent calls", "distributed agent systems", "agent discovery", "agent cards", "standardized agent communication", "remote agent invocation", "multi-agent…
This skill should be used when the user wants to build a "coding agent team", "AI software development team", "vibe coding", "human-agent team for software", "AI pair programmer team", "scaffolder agent", "coding specialist agent", "augmented development team", "agent-assisted coding workflow", "AI code review agent"…
This skill should be used when the user wants to "evaluate agent performance", "agent benchmarking", "LLM evaluation", "agent testing", "measure agent quality", "agent metrics", "hallucination detection", "answer quality scoring", "agent monitoring in production", "LLM observability", "agent evals", "test agent…
Use before an Agent permanently deletes files, runs destructive Git cleanup, formats or wipes disks, drops database data, or mirrors deletions. Reviews the exact command and requires ALLOW, ASK, or BLOCK handling.