skills

Load durable, sourced research about a topic into the current context. Use when the user says "prime context," asks an agent to investigate and remember a topic, wants prior topic research reused, or wants relevant discoveries preserved during the rest of the same session.

Publish durable spoken updates and answerable spoken questions through a standalone TTS29 daemon. Use when the user requests narration, a voice update, spoken progress, cross-device speech, or a bounded spoken question. The skill is a producer adapter only; it does not synthesize, pair devices, own playback, or run Nostr.

Capture iterative design explorations by naming the session, maintaining notes, and delaying implementation until clarity emerges. Use when the user is probing ambiguous architecture, system behavior, agent design, workflow design, product design, protocol design, meta-prompting/skill design, implementation strategy, or another complex design space across alternatives, objections, revisions, tradeoffs, ownership boundaries, invariants, failure modes, or integration risks. Complexity alone is not enough: use only when the user is exploring, probing, revising, comparing, or converging over time. Do not use for simple factual questions, clear implementation/edit requests, code review, CI fixes, releases, direct GitHub/PR work, simple prompt rewriting or one-shot prompt optimization, or when notes cannot be written.

Learn durable procedures from repeated delegation. Use when an agent should recognize a recurring request, recover how this user expects it done, execute from a lightweight runbook, or turn a successful new task into reusable procedural memory without making the user design the process.

Resolve and use a durable private home directory at ~/.agents/home/{identifier} for agent-only notes, scripts, caches, drafts, and other state that must persist across sessions.

Record evidence-based feedback after using another skill. Use when real use exposes unclear, missing, stale, inefficient, rigid, or ineffective guidance, a trigger misfire, or a skill-caused correction. Create or append canonical issues in the target skill's meta-feedback directory; exclude speculative reviews and general editing.

Explore a topic, codebase, system, document, tool, workflow, or unfamiliar concept and explain it succinctly at a high level for a user who does not want or need deep internals. Use when the user asks for a plain-language overview, "what is this?", "how does this work at a high level?", "help me understand", "explain without overwhelming me", "summarize the architecture", "give me the mental model", or similar broad orientation.

Use when turning an open-source repository into a project people understand, want to try, trust, star, share, or contribute to. Applies to README rewrites, launch preparation, repo audits, skill catalogs, CLI/library/app/framework/MCP/template repos, agent-facing repos, and root-structure recommendations. Separates human-facing positioning from agent-router metadata and produces adoption copy, proof, quick starts, trust signals, and maintainable repo shape.