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personal-agent-benchmark
personal-agent-benchmark 收录了来自 treygoff24 的 5 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。
这个仓库中的 skills
Use when operating Memorum from the memoryd CLI — orienting in a new session, searching and reading memories, recording notes and governed memories, superseding or forgetting, revealing encrypted content, checking daemon health, or importing/backing up prior Claude Code / Codex CLI memory. Covers the full agent operating loop and the JSON envelope + exit-code contract every command follows.
Use the elv CLI for ElevenLabs audio and voice work from the command line: generate speech (TTS), transcribe audio (STT), create sound effects or music, clone, convert, or isolate voices, dub video/audio, and manage ElevenLabs voices, models, conversational agents, history, and usage. elv also invokes ANY of the ~320 ElevenLabs API operations by id, plus raw REST and WebSocket calls. It is agent-first: every command is non-interactive and prints exactly one JSON envelope to stdout, with binary and large output written to disk. Reach for elv whenever the user wants ElevenLabs text-to-speech, speech-to-text, voice cloning, sound effects, music, dubbing, or any ElevenLabs REST/WebSocket call.
Build a standalone HTML explainer/decision-doc for the Próspera Radar project in the house style, token-efficiently. Use when Trey asks for an HTML explainer, walkthrough, decision doc, architecture brief, or visual brief. Author only the body fragment; the shared CSS is inlined by assemble.py so no stylesheet is ever regenerated.
Check repository occupancy before edits, find which local agents are running, claim a workspace before writing, release claims afterward, and diagnose fleet sources. Use before modifying a repo or launching concurrent agent work.
Check repository occupancy before edits, find which local agents are running, claim a workspace before writing, release claims afterward, and diagnose fleet sources. Use before modifying a repo or launching concurrent agent work.