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Agent Skill · 研究检索

navigate(navigate 搜索)

navigate 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。

navigate 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 40,381。

总安装 1,296周安装 54GitHub Stars 7下载 432核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:navigate(navigate 搜索)
来源仓库:https://github.com/hungv47/meta-skills
仓库路径:skills/navigate
安装命令:
npx skills add https://github.com/hungv47/meta-skills --skill navigate
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/hungv47/meta-skills --skill navigate

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

navigate 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。适用于研究检索类任务,支持基于来源仓库和任务场景进行信息聚合与过滤。

通过 npx skills add 命令从指定 GitHub 仓库安装,具体路径为 skills/navigate。安装前需确认权限范围、维护状态,以及是否涉及联网或文件操作等敏感行为。建议结合原始 README 文档进一步核验功能细节与使用边界。

来源仓库内路径:skills/navigate

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/hungv47/meta-skills --skill navigate;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

navigate 怎么安装?

在终端执行 npx skills add https://github.com/hungv47/meta-skills --skill navigate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

navigate 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

navigate 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

navigate 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

navigate 用的人多吗?

公开数据是累计安装 1,296 次,近一周安装 54 次,下载 432 次,GitHub 7 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

navigate 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
navigate

navigate 搜索 · 本页

1,2967只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Navigate

*Meta — Utility. Artifact awareness and multi-phase orchestration.*

Core Question: "What exists, and how do I track a complex workflow across sessions?"

Note: Skill routing (matching a user's goal to the right skills) is the agent's job — it reads skill descriptions and proposes matches proactively on every response. Navigate does NOT route. It provides artifact state awareness and persistent workflow tracking that the agent can't do implicitly.

Two Modes

Status

When: Argument is status or user asks "what exists", "what's stale", "what do I have"

Scan .agents/ and the canonical top-level folders (brand/, architecture/, research/), then report. Single-pass, no sub-agents.

  1. Scan every .md file in: For each, read frontmatter to extract skill:, date:, status:, version:. Missing fields = —. Most meta-skill artifacts (.agents/meta/) are ephemeral analysis outputs — report them but weigh them lightly in recommendations. Exception: meta/review-chain-report.md is consumed by /ship as a review gate, so treat it as a real dependency when ship is in the workflow. Also scan .agents/meta/out-of-scope/ — report count of out-of-scope decisions and flag any whose "Revisit if" conditions may now be met.

- .agents/ (pipeline artifacts — including .agents/meta/) - brand/, architecture/, research/ (canonical records)

  1. Report as a table sorted by date (newest first), with a Location column distinguishing .agents/ pipeline outputs from top-level canonical records. Mark STALE if date: > 30 days old.
| Artifact | Location | Skill | Date | Age | Status |
|----------|----------|-------|------|-----|--------|
| product-context.md | research/ | icp-research | 2026-03-15 | 13d | ok |
| system-architecture.md | architecture/ | system-architecture | 2026-03-10 | 18d | ok |
| solution-design.md | .agents/ | solution-design | 2026-02-10 | 46d | STALE |

If none of the scanned folders exist or all are empty, say so.

  1. Recommend the one or two skills that unblock the most, using the dependency graph below. Don't dump a flat list of everything missing — trace the graph, find the root blocker.

Orchestrate

When: Argument starts with orchestrate or user asks for a full workflow plan

  1. Scan .agents/ + brand/ + architecture/ + research/ for existing artifacts (same as Status step 1)
  2. Check .agents/meta/out-of-scope/ — if the goal overlaps with a prior out-of-scope decision, surface it: "This was previously scoped out because [reason]. Revisit condition: [condition]. Proceed anyway?"
  3. Classify the goal, match to skills using the skill registry, check dependencies, identify parallel tracks
  4. Produce a workflow-plan.md artifact with phases, checkpoints, and progress tracking
  5. Return the plan + instructions for Phase 1

Continuation: Run /navigate orchestrate again (no new goal) to validate current phase, update progress, and recommend next phase.


Orchestrate Output Format

---
skill: navigate
version: 1
date: [today]
status: in-progress
goal: "[user's goal]"
---

# Workflow: [Goal Title]

## Phases

### Phase 1: [Name]
- [ ] /[skill] -> [artifact]
**Decisions:**
- Mechanical: [auto-decided, not surfaced]
- Taste: [auto-decided, surfaced at checkpoint]
- User Challenge: [must ask before proceeding]
**Checkpoint:** [validation criteria]

### Phase 2: [Name]
- [ ] /[skill] -> [artifact]
**Decisions:**
- [same format]
**Checkpoint:** [validation criteria]

## Status
Current phase: 1
Next action: Run `/[first-skill] [context]`

Decision Classification

In Orchestrate mode, classify decisions within each phase into three types:

TypeBehaviorExamples
MechanicalAuto-decide silently — obvious from context, low risk"Use the ORM already in the codebase", "Follow existing naming conventions"
TasteAuto-decide but surface at phase checkpoint for user review"Chose polling over WebSockets because latency requirements are relaxed", "Picked 3 personas instead of 2"
User ChallengeAlways ask — never assume"Should we support mobile?", "Which pricing tier to target?", "Build vs buy for auth?"

How to classify:

  • If the codebase, spec, or prior artifacts answer it → Mechanical
  • If you have a defensible recommendation but the user might disagree → Taste
  • If it's expensive to reverse, subjective, or has business implications → User Challenge

In the workflow plan, annotate each phase:

### Phase 2: Architecture
- [ ] /system-architecture -> system-architecture.md
**Decisions:**
- Mechanical: tech stack (matches existing codebase)
- Taste: DB schema normalization level — will default to 3NF, surface at checkpoint
- User Challenge: self-hosted vs managed DB — must ask before proceeding

At phase checkpoints, present Taste decisions as a batch: "I made these calls — confirm or override before I continue." User Challenges block the phase until answered.

Checkpoint Validation

Between phases in orchestrate mode:

  1. Existence — required artifacts exist
  2. Freshness — date field < 30 days
  3. Completeness — valid frontmatter present
  4. Status — final preferred; draft triggers warning
Phase [N] Checkpoint: PASS / WARNING / BLOCKED

Cross-Project Mode (--cross-project)

When invoked with --cross-project:

  1. Scan .agents/ in current directory AND sibling skill repo directories
  2. Report unified table with Project column
  3. Trace cross-project dependencies
  4. Recommend highest-impact action across ALL projects

Dependency Graph (Canonical)

Artifacts are optional save-points, not mandatory pipeline gates. The graph shows what CAN flow between skills, not what MUST exist on disk. Conversation context from the current session is equally valid.

product-context.md <- /icp-research
|-> market-research.md <- /market-research --+
|-> problem-analysis.md <- /problem-analysis -+
|                                             +-> solution-design.md <- /solution-design
|                                             |   |-> targets.md <- /funnel-planner -> experiment-*.md
|                                             |   |-> mkt/imc-plan.md <- /imc-plan -> mkt/content/ -> mkt/*.humanized.md
|                                             |   +-> system-architecture.md <- /system-architecture
|                                             |       +-> tasks.md <- /task-breakdown
|                                             |           +-> (execute) -> meta/review-chain-report.md <- /review-chain
|                                             |               +-> ship-report.md <- /ship
|                                             |                   +-> deploy-verify-report.md <- /deploy-verify
|-> /discover (conversation context or spec.md) --+
|-> design/brand-system.md <- /brand-system
+-> product/flow/*.md + product/flow/index.md <- /user-flow --> system-architecture.md, tasks.md

Priority Table

When recommending next action. Note: if discover ran in the current session, its decisions are in conversation context — no spec.md file is required.

If missing/staleRunBecause
product-context.md/icp-research12+ downstream skills depend on it
market-research.md or problem-analysis.md/market-research or /problem-analysisFeed into /solution-design
solution-design.md/solution-designArchitecture, funnel, comms need it
No clarity on what to build (no conversation or spec)/discoverNeed alignment before architecture
system-architecture.md/system-architectureCan't decompose without design
tasks.md/task-breakdownNeeds architecture first

Pre-Built Workflow Templates

Technical Build

Triggers: "build the app", "implement", "code it"

Phase 1: /discover (interactive conversation — optionally saves spec.md)
Phase 2: /system-architecture -> system-architecture.md
Phase 3: /task-breakdown -> tasks.md
Phase 4: (execution, /review-chain after critical tasks)
Phase 5: /code-cleanup + /technical-writer (parallel)
Phase 6: /ship -> ship-report.md
Phase 7: /deploy-verify -> deploy-verify-report.md

Full Product Launch

Triggers: "launch", "new product", "go to market"

Phase 1: /icp-research -> product-context.md
Phase 2: /market-research + /problem-analysis (parallel)
Phase 3: /solution-design -> solution-design.md
Phase 4: /brand-system + /imc-plan + /funnel-planner (parallel)
Phase 5: /user-flow -> product/flow/<flow-name>.md (once per flow)
Phase 6: /discover (interactive conversation)
Phase 7: /system-architecture -> system-architecture.md
Phase 8: /task-breakdown -> tasks.md + execution (/review-chain after critical tasks)
Phase 9: /ship -> ship-report.md
Phase 10: /deploy-verify -> deploy-verify-report.md
Phase 11: /content-create + /copywriting -> mkt/content/
Phase 12: /lp-optimization + /seo (parallel)

Strategy Sprint

Triggers: "strategy", "what should we build", "prioritize"

Phase 1: /icp-research -> product-context.md
Phase 2: /market-research + /problem-analysis (parallel)
Phase 3: /solution-design -> solution-design.md
Phase 4: /funnel-planner -> targets.md
Phase 5: /experiment -> experiment-*.md

Content Campaign

Triggers: "content campaign", "marketing campaign"

Phase 1: /icp-research -> product-context.md
Phase 2: /imc-plan -> mkt/imc-plan.md
Phase 3: /content-create -> mkt/content/
Phase 4: /copywriting -> mkt/content/*.copy.md
Phase 5: /humanize -> mkt/content/*.humanized.md

Landing Page

Triggers: "landing page", "conversion page"

Phase 1: /icp-research -> product-context.md
Phase 2: /brand-system -> design/brand-system.md
Phase 3: /copywriting -> mkt/content/*.copy.md
Phase 4: /lp-optimization -> mkt/lp-optimization.md
Phase 5: /humanize -> mkt/content/*.humanized.md

Architecture Decision

Triggers: "debate the tech stack", "which approach", "compare options"

Phase 1: /discover -> scope the decision (interactive)
Phase 2: /agent-room debate -> meta/agent-room-report.md
Phase 3: /system-architecture -> system-architecture.md

Anti-Patterns

  • Dumping a flat list — Trace the graph, find the root blocker. Don't list every missing artifact equally.
  • Ignoring artifact state — Don't recommend /icp-research when product-context.md is 3 days old.
  • Skipping dependency tracing — Don't recommend /task-breakdown when system-architecture.md doesn't exist.
  • Treating templates as rigid — Skip phases where fresh artifacts exist.
  • Using navigate for skill routing — The agent proposes skills proactively. Navigate is for artifact status and orchestration only.

Chain Position

Meta skill — scans artifact state and recommends the highest-impact next skill to run. Start here when unsure what to do next.

平台分布

Codex

36.2%
按下载量换算156

Claude

30.45%
按下载量换算132

Cursor

18.37%
按下载量换算79

Gemini CLI

9.37%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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