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pathfinderpathfinder 搜索

Agent Skill

pathfinder 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,594

周安装

144

GitHub Stars

69,935

下载量

1,164
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pathfinder(pathfinder 搜索)
来源仓库:https://github.com/thedotmack/claude-mem
仓库路径:skills/pathfinder
安装命令:
npx skills add https://github.com/thedotmack/claude-mem --skill pathfinder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/thedotmack/claude-mem --skill pathfinder

简介

用于查找、检索和筛选相关信息。pathfinder 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在知识库或记忆系统中快速匹配内容。
  • 通过 GitHub 安装,支持主流 AI 开发环境。
  • 建议在使用前核实来源仓库的维护情况。
  • 注意可能触发的网络请求或外部依赖。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Pathfinder

You are an ORCHESTRATOR. Map the codebase into feature-grouped flowcharts, identify duplicated concerns, propose the simplest unified architecture, and hand off per-system plans to /make-plan.

You do not write implementation code. You produce diagrams, a duplication report, a proposed unified flowchart, and handoff prompts.

Delegation Model

Use subagents for *discovery and extraction* (file reading, flow tracing, grep, diagramming). Keep *synthesis* (deciding feature boundaries, picking unification strategies, final flowchart) with the orchestrator. Reject subagent reports that lack source citations and redeploy.

Subagent Reporting Contract (MANDATORY)

Each subagent response must include:

  1. Sources consulted — exact file paths and line ranges read
  2. Concrete findings — exact function names, call sites, data flow
  3. Mermaid diagram(s) with nodes labeled by file:line
  4. Confidence note + known gaps

Output Artifacts

All artifacts go in PATHFINDER-<YYYY-MM-DD>/ at repo root:

  • 00-features.md — feature inventory with boundaries
  • 01-flowcharts/<feature>.md — one Mermaid flowchart per feature
  • 02-duplication-report.md — cross-cutting duplicated concerns with evidence
  • 03-unified-proposal.md — proposed unified architecture + Mermaid
  • 04-handoff-prompts.md — copy-pasteable /make-plan prompts per unified system

Phases

Phase 0: Feature Discovery (ALWAYS FIRST)

Deploy ONE "Feature Discovery" subagent to:

  1. Walk the source tree (not built artifacts) and read top-level README / CLAUDE.md
  2. Propose feature boundaries based on directory structure, import graph, and naming
  3. Return a flat list of features with: name, entry points (file:line), core files, brief purpose

Orchestrator reviews the proposal, adjusts boundaries if needed, writes 00-features.md. Do NOT fan out until feature boundaries are approved.

Phase 1: Per-Feature Flowcharts (FAN OUT)

Deploy ONE "Flowchart" subagent per feature in parallel. Each receives only its feature's scope. Each must:

  1. Trace the feature's primary happy path from entry point to terminal state
  2. Identify side effects (DB writes, HTTP calls, file I/O, process spawns)
  3. Note error and fallback branches but do not let them dominate the diagram
  4. Produce a Mermaid flowchart TD with every node labeled Name<br/>file:line
  5. List external dependencies (other features it calls into) at the bottom

Orchestrator writes each flowchart to 01-flowcharts/<feature>.md. Reject any diagram missing file:line labels.

Phase 2: Duplication Hunt

Deploy TWO subagents in parallel:

"Within-Feature Duplication" subagent:

  • For each feature, find repeated code/logic patterns inside the feature only
  • Report only duplications worth consolidating (ignore trivial repetition)

"Cross-Feature Duplication" subagent:

  • Compare flowcharts across features for concerns that appear in multiple places
  • Examples of what to look for: multiple capture paths, parallel queue implementations, duplicated storage/migration code, repeated agent scaffolding, parallel parsing layers
  • For each duplication, report: (a) the concern, (b) every location with file:line, (c) why they diverged, (d) whether the divergence is legitimate specialization or accidental

Orchestrator synthesizes both into 02-duplication-report.md. Every duplication claim must cite ≥2 file:line locations.

Phase 3: Unified Proposal (ORCHESTRATOR)

The orchestrator writes 03-unified-proposal.md itself — do not delegate synthesis.

For each duplicated concern from Phase 2 that is NOT legitimate specialization:

  1. Propose the simplest unified design (one path, one store, one handler — whatever applies)
  2. Name the consolidated component and its single entry point
  3. Show what each old call site becomes
  4. Call out any loss of capability and whether it's acceptable

End the document with ONE combined Mermaid flowchart showing the proposed unified system. Nodes still labeled with target file:line (new or existing) where knowable.

Anti-patterns to reject in your own proposal:

  • Adding a new abstraction layer "for flexibility"
  • Keeping both old paths behind a feature flag
  • Introducing a registry/factory when a switch statement suffices
  • Preserving divergent behavior "just in case"

Phase 4: Per-System Handoff Prompts

For each unified system in the proposal, write a ready-to-run /make-plan prompt to 04-handoff-prompts.md. Each prompt must:

  1. State the target unified component and its single entry point
  2. List the exact call sites to rewrite (from Phase 2 evidence)
  3. Cite the relevant flowchart file from 01-flowcharts/
  4. Include anti-pattern guards specific to this system

Format each as a fenced code block the user can copy directly into /make-plan.

Key Principles

  • Evidence over intuition — every diagram node and duplication claim cites file:line
  • Current state before ideal state — Phases 0–2 describe what IS; Phase 3 describes what SHOULD BE
  • Simplest unification wins — prefer deletion over abstraction; prefer one path over configurable paths
  • Specialization is not duplication — two components serving different trust models or data sources are legitimate even if their code looks similar
  • Handoff, don't implement — Pathfinder ends at plan prompts; /make-plan and /do take it from there

Failure Modes to Prevent

  • Drawing flowcharts from memory instead of source — redeploy subagent with grep evidence requirement
  • Proposing unification of legitimately specialized components — re-examine trust/data-source divergence
  • Handoff prompts that lack concrete call sites — rewrite with Phase 2 evidence
  • Skipping Phase 0 boundary review — fanning out on bad feature boundaries wastes all of Phase 1

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.99%
按下载量换算419

Claude

29.07%
按下载量换算338

Cursor

20.43%
按下载量换算238

Gemini CLI

9.86%
按下载量换算115

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/thedotmack/claude-mem --skill pathfinder 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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