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pathfindingpathfinding 搜索

Agent Skill

pathfinding 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

456

周安装

19

GitHub Stars

26

下载量

152
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

3

许可证

MIT

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:pathfinding(pathfinding 搜索)
来源仓库:https://github.com/outfitter-dev/agents
仓库路径:skills/pathfinding
安装命令:
npx skills add https://github.com/outfitter-dev/agents --skill pathfinding
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/outfitter-dev/agents --skill pathfinding

简介

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

  • 适合在复杂系统或网络结构中定位路径。
  • 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

Pathfinding

Adaptive Q&A → unclear requirements → clear path.

<when_to_use>

  • Ambiguous/incomplete requirements
  • Complex features needing exploration
  • Greenfield projects with open questions
  • Collaborative brainstorming or problem solving

NOT for: time-critical bugs, well-defined tasks, obvious questions

</when_to_use>

BarLvl%NameAction
░░░░░00–19PreppingGather foundational context
▓░░░░120–39ScoutingAsk broad questions
▓▓░░░240–59ExploringAsk focusing questions
▓▓▓░░360–74ChartingRisky to proceed; gaps remain
▓▓▓▓░475–89MappedViable; push toward 5
▓▓▓▓▓590–100ReadyDeliver

Start honest. Clear request → level 4–5. Vague → level 0–2.

At level 4: "Can proceed, but 1–2 more questions would reach full confidence. Continue or deliver now?"

Below level 5: include △ Caveats section.

Load the maintain-tasks skill for stage tracking. Stages advance only, never regress.

StageTriggeractiveForm
Preplevel 0–1"Prepping"
Explorelevel 2–3"Exploring"
Clarifylevel 4"Clarifying"
Deliverlevel 5"Delivering"

Task format — each stage gets context-specific title:

- Prep { domain } requirements
- Explore { approach } options
- Clarify { key unknowns, 3-4 words }
- Deliver { artifact type }

Situational (insert before Deliver when triggered):

  • Resolve Conflicts → ◆ Caution or ◆◆ Hazard pushback
  • Validate Assumptions → high-risk assumptions before delivery

Workflow:

  • Start: Create stage matching initial confidence in_progress
  • Transition: Mark current completed, add next in_progress
  • High start (4+): Skip directly to Clarify or Deliver
  • Early delivery: Skip to Deliver + △ Caveats

Calibrate first — user may have already provided context (docs, prior conversation, pointed you at files). If enough context exists, skip to level 3–4. Don't re-ask what's already clear.

If gaps remain, explore focus areas (pick what's relevant):

  • Purpose: What problem? Why now?
  • Constraints: Time, tech, team, dependencies
  • Success: How will we know it works?
  • Scope: What's in, what's out?

When multiple approaches exist:

  • Propose 2–3 options with trade-offs
  • Lead with recommendation ★ and reasoning
  • Let user pick, combine, or redirect

Principles:

  • YAGNI — cut what's not needed
  • DRY — don't duplicate effort or logic
  • Simplest thing — prefer boring solutions

Use EnterPlanMode for each question — enables keyboard navigation of options.

Structure:

  • Prose above tool: context, reasoning, ★ recommendation if clear lean
  • Inside tool: options only (concise, scannable)

At level 0 — start with session intent:

  • Quick pulse check vs deep dive?
  • Exploring possibilities or solving a specific problem?
  • What does "done" look like?

Levels 1–4 — focus on substance:

  • 2–4 options per question + "5. Something else"
  • Inline [★] on recommended option + *italicized rationale*
  • User replies: number, modifications, or combos

Loop: Answer → Restate → Update Confidence → Next action

After each answer emit:

  • Confidence: {BAR} {NAME}
  • Assumptions: {if material}
  • Unknowns: {what we can clarify; note unknowables when relevant}
  • Decisions: {what's locked in}
  • Concerns: {what feels off + why}

Next action by level:

  • 0–2: Ask clarifying questions
  • 3: Summarize (3 bullets max), fork toward 5
  • 4: Offer choice: refine or proceed
  • 5: Deliver

When answer reveals a concern mid-stream:

  • Pause before next question
  • Surface with + brief description
  • Ask: clarify now, note for later, or proceed with assumption?

Example: "△ This assumes the API supports batch operations — clarify now, note for later, or proceed?"

If user proceeds despite significant gap → escalate to pushback protocol.

Escalate when choice conflicts with goals/constraints/best practices:

  • ◇ Alternative: Minor misalignment. Present option + reasoning.
  • ◆ Caution: Clear conflict. Recommend alternative, explain risks, ask to proceed. Triggers Resolve Conflicts.
  • ◆◆ Hazard: High failure risk. Require mitigation or explicit override. Triggers Resolve Conflicts.

Override: Accept "Proceed anyway: {REASON}" → log in next reflection → mark Resolve Conflicts complete.

Integrate skeptic agent for complexity sanity checks:

Recommend (offer choice):

  • Level 5 reached with △ Caveats > 2
  • Red flag language in decisions: "might need later", "more flexible", "best practice"
Before finalizing — you have {N} caveats. Want to run skeptic for a sanity check?
[AskUserQuestion]
1. Yes, quick check [★] — I'll challenge complexity interactively
2. Yes, deep analysis — launch skeptic agent in background
3. No, proceed — deliver as-is

Auto-invoke (no choice):

  • Level 4+ with 3+ unknowns persisting across 2+ question cycles
  • ◆◆ Hazard escalation triggered during session

When auto-invoking:

[Auto-invoking skeptic — {REASON}]

Launch with Task tool:

  • subagent_type: "outfitter:skeptic"
  • prompt: Include current decisions, unknowns, and caveats
  • run_in_background: false (wait for findings before delivery)

After skeptic returns:

  • Present findings to user
  • If verdict is block → add Resolve Conflicts stage
  • If verdict is caution → offer choice to address or acknowledge
  • If verdict is proceed → continue to delivery

Level 5: Produce artifact immediately (doc, plan, code, outline). If none specified, suggest one.

After delivering, ask where to persist (if applicable):

[EnterPlanMode]
1. { discovered path } [★] — { source: `CLAUDE.md` preference | existing directory | convention }
2. Create issue — { Linear/GitHub/Beads based on project context }
3. ADR — { if architectural decision }
4. Don't persist — keep in conversation only
5. Something else — different location or format

Discovery order for option 1:

  1. CLAUDE.md or project instructions with explicit plan storage preference
  2. Existing .agents/plans/ directory
  3. Existing docs/plans/ directory
  4. Fall back to .agents/plans/ if nothing found

Always suggest filename based on topic. Match existing conventions if present.

Mark Deliver completed after artifact is delivered (persistence is optional follow-up).

Below 5: Append △ Caveats:

  • Open questions + context
  • Assumed decisions + defaults
  • Known concerns + impact
  • Deferred items + revisit timing

ALWAYS:

  • Task stage matching initial confidence at start
  • EnterPlanMode for each question (keyboard nav)
  • Prose above tool for context + ★ recommendation
  • One question at a time, wait for response
  • Restate + update confidence before next move
  • Update todos at level 4, level 5 thresholds
  • Apply pushback protocol on conflicts
  • Check skeptic triggers at level 4+ (unknowns, caveats, red flags)

NEVER:

  • Proceed from 0–3 without clarifying questions
  • Hide uncertainty below level 5
  • Stack questions or bury decisions in paragraphs
  • Put recommendation inside plan tool (keep in prose)
  • Skip reflection after answer
  • Regress stages
  • Ignore skeptic auto-invoke triggers

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

27.78%
按下载量换算42

windsurf

22.52%
按下载量换算34

OpenCode

18.38%
按下载量换算28

Cursor

13.67%
按下载量换算21

Codex

8.3%
按下载量换算13

Antigravity

3.5%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

来源信息

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