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Automation
Skill

/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

From plugin
trailsnap
72610 skills2 MCP
Install
$ npx -y skills add LC044/TrailSnap --skill trailsnap-agent --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/trailsnap-agent

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

trailsnap-agent.SKILL.md
name: trailsnap-agent
description: 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.

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](references/workflows.md).

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Ships withtrailsnap

TrailSnap (行影集) | AI-Powered open-source photo album for travel & life memories.(AI赋能的开源相册工具,珍藏旅行与生活点滴)

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