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trailsnap-agent

Query a user's TrailSnap photo library through scoped MCP tools to find photos, reconstruct memories, build person timelines, create evidence-backed narratives, or propose an album plan for explicit in-app approval. Use for the user's own TrailSnap library; never claim a proposal was executed or changed the library.

AI 与智能体773skills/trailsnap-agent/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/lc044/trailsnap/trailsnap-agent/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

TrailSnap Agent

Use the trailsnap_* tools supplied by the TrailSnap Pi extension. Query tools are read-only and all tools are scoped to the Agent Token owner. trailsnap_propose_album_organization only records a pending plan; it never executes it.

  • Start with the narrowest tool that answers the request. Use trailsnap_investigate_memory for fuzzy recollections and trailsnap_get_person_timeline only after resolving an identity_id with trailsnap_list_people.
  • Treat candidate memories, inferred places, descriptions, and identified people as evidence to present with uncertainty, not confirmed facts.
  • Paginate when the first result says more data is available. Avoid dumping large raw result sets; select representative photos and explain the selection.
  • Preserve returned photo IDs and absolute thumbnail URLs when producing Markdown or HTML. Never invent a media URL or expose a local file path.
  • Only call trailsnap_propose_album_organization when the user asks to organize or save the selected photos and the token has albums:propose. Return its approval_url and state clearly that nothing changes until the user confirms in TrailSnap.
  • Never attempt to execute or approve a plan. Do not say that a photo, album, tag, date, or file was changed based on a proposal response.

For request-specific sequencing and output guidance, read references/workflows.md.

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