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skill-invocation技能调用

Agent Skill

skill-invocation 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

4,406

周安装

180

GitHub Stars

公开资料未说明

下载量

1,411
OpenClaw

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

MIT-0

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:skill-invocation(技能调用)
来源仓库:https://github.com/xuchang9337-dev/skill-invocation
安装命令:
openclaw skills install skill-invocation
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install skill-invocation

简介

skill-invocation 通过关键字匹配 TOOLS.md 索引选择最优 OpenClaw 技能。

  • 适合在 OpenClaw 中需要精确触发特定功能或规避模糊匹配误用时使用。
  • 采用最具体优先原则,在无把握时回退到通用技能保障稳定性。
  • 安装前需确认 TOOLS.md 索引完整性和更新机制。
  • 建议维护常用技能别名映射提升调用便捷性。

SKILL.md

name
Skill Invocation System
slug
skill-invocation
version
1.0.0
description
Choose the best OpenClaw skill by matching trigger keywords to the TOOLS.md index, then applying strict judgment rules (most specific first; if in doubt, use it).
changelog
Converted from Skills for Openclaw/skill-invocation/SKILLS.md (skill invocation framework + decision rules).
metadata
{"clawdbot":{"emoji":"🦞","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Skill Invocation System

This is a framework-style skill for "skill selection and invocation flow". It does not implement a specific tool; instead, it provides stable decision rules for an agent to choose the best skill (or skill combination) for a user request.


Core Principles

  1. Match the index first: consult TOOLS.md (skills index) to quickly narrow down candidate skills.
  2. Most specific wins: when multiple candidates match, choose the one whose triggers best align with the user's intent.
  3. When unsure, consult SKILL.md: if still unclear, read the candidate skill's SKILL.md to confirm fit and constraints.
  4. If in doubt, use it: if you cannot decide, pick the closest and usable candidate skill.

Invocation Flow

When a user request arrives, follow this order:

  1. Match trigger keywords using the TOOLS.md index.
  2. If matched with high confidence → use that skill.
  3. If no match / unclear → read the candidate skill's SKILL.md.
  4. If multiple are suitable → choose the most specific one.
  5. If still unclear → use "if in doubt, use it".

Requirements: Provide TOOLS.md

To make this skill reusable by anyone, your workspace needs a TOOLS.md (or an equivalent index) that maps "user intent / trigger keywords" to "candidate skill ids".

Index Contract

In TOOLS.md, skillId should follow one of these rules (pick one and keep it consistent):

  1. Equal to the skill folder name (for example: ~/.openclaw/workspace/skills/<skillId>/SKILL.md)
  2. Or equal to the name/slug your orchestration layer uses to call that skill

As long as skillId matches the actual callable skill identifier, this framework can be reused by anyone.

Suggested TOOLS.md format (minimum viable):

# TOOLS.md

## Skills Index
| skillId | triggers | summary |
|---|---|---|
| weather | current weather, forecast | Get weather & forecast |
| summarize | summarize, tl;dr | Summarize URLs/files/PDFs |
| stock-info-explorer | stock, quote, ticker | Analyze stock price & basics |

Matching rules (agent-side):

  1. Split triggers by commas / delimiters into multiple trigger phrases.
  2. Do case-insensitive matching against the user message; if a trigger phrase "appears", count it as a hit.
  3. When multiple candidates match, use a "most specific first" heuristic:

- Longer trigger phrases are more specific (for example: current weather is more specific than weather) - More matched trigger keywords is more specific - Higher semantic alignment with the candidate's summary (closer wording) is more specific

When the index matches but you are still uncertain:

  1. Read the candidate skill's SKILL.md.
  2. Look for sections like When to Use, Decision Rules, or "Notes/Constraints" to validate fit.
  3. If you cannot find enough evidence or there is an obvious mismatch, fall back to "if in doubt, use it".

Decision Output (recommended output contract)

To make orchestration easier, when making a decision this skill should output (order does not matter):

  1. SELECTED_SKILLS: the list of selected skillIds (one or many)
  2. REASON: a short explanation of which triggers matched and why the choice is most specific
  3. NEXT_ACTION: the recommended calling plan for the orchestrator (for example: call the first skill, then the second)

Optional: Combination Strategy (optional)

If you want a single request to map to multiple steps, you can define an additional "combination" section in TOOLS.md (not required). When the agent detects that triggers hit multiple steps:

  1. Execute the most core step first (often "input / retrieval / preparation").
  2. Execute the step closest to the desired output shape next (for example: summarizing / formatting / exporting).

(The exact definition format is up to you; the key is that TOOLS.md explains why the combination is needed.)


Judgment Checklist (when unsure)

If you cannot decide which skill to use, check in order:

  1. Is the request covered by the candidate skill's description? → Yes → use it
  2. Could the request be handled better without this skill? → No → use it
  3. Still cannot decide → "if in doubt, use it"

Index Maintenance (optional)

If you maintain the TOOLS.md index, keep it accurate so selection logic stays reliable:

  1. Scan your workspace/install directories for candidate skill folders (according to your OpenClaw installation conventions).
  2. For each skill, read its SKILL.md for "when to use / trigger suggestions / constraints" (if available).
  3. Add or update each skill's skillId + triggers + summary in TOOLS.md.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

75.97%
按下载量换算1,072

安全审计

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通过

ClawScan

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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。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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