Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
agentlas-ai/Agentlas-OS Use when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team. | Skills | — |
agentlas-ai/Agentlas-OS Use when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions. | Skills | — |
agentlas-ai/Agentlas-OS Use when packaging an Agentlas agent repo for public GitHub release, Codex plugin submission, Claude adapter distribution, or one-line terminal installation. | Skills | — |
agentlas-ai/Agentlas-OS Use when preserving product intent, acceptance criteria, decision memory, open loops, roadmap context, or the product-manager continuity layer of an agent team. | Skills | — |
agentlas-ai/Agentlas-OS Use before routing a /meta-agent request to choose single-agent-creator, team-builder, or agentlas-packager from the user's wording and available files. | Skills | — |
agentlas-ai/Agentlas-OS Use when adding Memory Events, Memory Tickets, memory-map.json, vault-references.json, PM Soul memory ownership, or Memory Curator routing to an agent repo. | Skills | — |
agentlas-ai/Agentlas-OS Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools. | Skills | — |
agentlas-ai/Agentlas-OS Use when verifying that a generated agent package can be installed, discovered by runtimes, and checked without private dependencies. | Skills | — |
agentlas-ai/Agentlas-OS Use when the user types /hep-storm, says @Hephaestus storm <goal>, or asks to drive a goal to verified completion through a force-robust Stormbreaker loop. Stormbreaker routes the goal to real Agentlas specialists, materializes a dependency-ordered pipeline fabric, and runs each work packet as a verifier-first hardened loop that does not stall, run away, or claim false success. Use it for loop-worthy work — apps, sites, agents, automations, debugging, multi-step research, data/report generation. Trivial questions are answered directly, not stormed. | Skills | — |
agentlas-ai/Agentlas-OS Use when the user types $hephaestus-network or /hep-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams. The active host LLM staffs each turn; the exact roster remains goal-bound until explicit completion. | Skills | — |
agentlas-ai/Agentlas-OS Use when the user types /hep-cloud or asks to staff from THEIR OWN Agentlas cloud packages only. Cloud is one exact source scope; Network means Local + owner Cloud + public Hub. | Skills | — |
agentlas-ai/Agentlas-OS Use when a meta-agent request is too ambiguous to safely generate, package, publish, or adapt without one to five targeted questions. | Skills | — |
agentlas-ai/Agentlas-OS Use when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local install, Agentlas import, Codex plugin use, Claude adapter use, or open-source release. | Skills | — |
agentlas-ai/Agentlas-OS Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture. Make sure to use this for /meta-agent requests. | Skills | — |
agentlas-ai/Agentlas-OS Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files. | Skills | — |
agentlas-ai/Agentlas-OS Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system. | Skills | — |
nagisanzenin/engram Clear due memory reviews with free recall — the two-minute habit that makes learning permanent. Use when reviews are due, or the user wants to review, practice, or "do my engram reviews". | Skills | — |
nagisanzenin/engram Learning telemetry, strategy, and schedule — retention stats, calibration, grader audit, n-of-1 experiments, HTML dashboard. Use for "how am I doing", weekly check-ins, strategy questions, auditing the grader, or adjusting how Engram teaches. | Skills | — |
cataclysmbn/Cataclysm-BN Write or review Cataclysm-BN tests that avoid flakes, use deterministic fixtures, and clean up global state. | Skills | — |
cataclysmbn/Cataclysm-BN Finish release follow-up after the changelog exists. Update `data/XDG/org.cataclysmbn.CataclysmBN.metainfo.xml` and send the matching Flathub PR with `gh pr create --web`. | Skills | — |
Can't find what you're looking for? Evaluate a missing skill.