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Found 6,704 Skills
CubeSandbox — instant, hardware-isolated, E2B-compatible sandbox service for AI agents built on RustVMM/KVM
Designs identity, authentication, and trust verification systems for autonomous AI agents operating in multi-agent environments. Ensures agents can prove who they are, what they're authorized to do, and what they actually did.
Turn AI coding from chaotic one-shot prompting into a reliable engineering workflow. FORGE gives you clear task boundaries, safer commits, review gates, and team-ready coordination so agents can ship real work without losing control of the project.
Create and adapt Dynamic Agentic Architecture agents that learn and evolve
Define and manage cognitive patterns for agent reasoning and decision-making
Read research outline, launch independent agent for each item for deep research. Disable task output.
Use when the user wants to turn one or more Entire-tracked sessions, checkpoints, or repeated agent workflows into a reusable agent skill.
Use when the user wants to find prior work, checkpoints, or agent conversations by topic, repo, branch, author, or recent time window
The CLI for the public API directory at postman.com/explore — search, rank, and watch community-contributed Postman Collections, agent-native and offline. Trigger phrases: `find a postman collection for`, `what postman collection should i fork for`, `is there a postman collection for`, `browse postman api network`, `compare postman publishers`, `what changed on the postman network`, `use postman-explore`, `run postman-explore`.
Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete, and invoke Aura agents backed by an AuraDB instance. Use when configuring Aura Agent tools (CypherTemplate, SimilaritySearch, Text2Cypher), setting system prompts, deploying agents to REST or MCP endpoints, or invoking agents with natural language queries. Covers OAuth2 auth, organization/project scoping, tool parameter schemas, and InvokeAgentResponse format. Does NOT cover AuraDB instance provisioning — use neo4j-aura-provisioning-skill. Does NOT cover vector index creation — use neo4j-vector-index-skill.
This skill should be used when the user wants to run baseline evaluations on existing agent skills, regenerate transcripts after a model upgrade, or check whether a skill still solves the gap it was authored for. Common triggers include "rerun the baselines", "re-eval skill X", "test all the skills", "check for skill drift", and "run the evals". Bakes in verbatim transcript capture (no paraphrasing), deterministic-only grading (regex / contains / file_exists — no LLM-as-judge), and the iteration-N workspace convention. Skip when authoring a new skill (use skill-creator) or modifying skill content directly.
Translate Figma designs into production-ready code with 1:1 visual fidelity. Useful for handing off Figma frames straight to a frontend agent.