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agent-essentialsAgent 要领

Agent Skill

agent-essentials 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

9,433

周安装

397

GitHub Stars

公开资料未说明

下载量

3,303
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:agent-essentials(Agent 要领)
来源仓库:https://github.com/nathanshan/agent-essentials
安装命令:
openclaw skills install agent-essentials
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 agent-essentials

简介

Agent Essentials 记录任务执行中的错误与能力缺口。

  • 沉淀用户纠正与最佳实践,驱动代理自我完善。
  • 支持规则自动生成与知识库更新,减少重复问题发生。
  • 安装命令:openclaw skills install agent-essentials,需写入本地日志目录。
  • 定期清理过期条目,防止知识库膨胀降低检索准确性。

SKILL.md

name
agent-essentials
description
Meta-skill for capability expansion and cautious self-improvement. USE WHEN (a) a request suggests a missing capability, external platform support, workflow automation, integration work, or any reusable process that may benefit from skill discovery before giving up — common phrases include "automate X", "integrate with X", "support X platform", "帮我自动化X", "对接X", "做一个工具来X"; OR (b) a meaningful failure, user correction, recurring mistake ("again", "this is the Nth time", "又错了", "这是第N次了"), or better workflow should be captured and routed into a durable file (AGENTS.md / TOOLS.md / USER.md / SOUL.md). DO NOT use for one-off questions or trivial noise.

Agent Essentials

This skill has two jobs:

  1. Expand capabilities — discover better capability paths before declaring failure.
  2. Self-improve — capture important lessons and route them to the right durable layer.

Capability Expansion

Rule: never stop at "I can't" or "no built-in way" without checking for a better capability path.

Triggers — request implies external platform / workflow automation / system integration / repeatable ops / capability gap. Common phrasing: *"automate X" / "integrate with X" / "support X platform" / "help me do this in X"*.

Workflow

  1. Detect the gap

- Input: the user's request. - Test: would solving this same request appear ≥2 times across this user's work? OR does it require a tool/platform not in the loaded skill list? - Output: a 1-line verdict — gap: <yes/no> — <which capability is missing>. If no, exit this workflow and answer normally. - If ambiguous: count yes on {*reusable later? / specific platform? / >1 step?*}; ≥2 yes → treat as gap.

  1. Search

- Input: gap verdict + missing-capability keywords from step 1. - Where: (a) loaded skill list — match name/description/triggers; (b) ClawHub via https://clawhub.ai/search?q=<keyword>, try 1–3 variants. - Stop: strong match found OR 3 variants returned nothing. - Output: 1–3 candidates as <name> — <one-line value> — <fit: strong/moderate/weak>.

  1. Act — pause for user confirmation before any of these:

- Installing a skill → show name, source, one-line value, and ask "install? [y/N]" before downloading. - Creating a new custom skill → show the proposed name + 3-line description and ask before scaffolding. - Doing the task directly → only this branch may proceed without confirmation, and only if no fallback above is viable.

Self-Improvement

Rule: when something meaningful is learned, preserve the minimum useful lesson.

Triggers — meaningful failure / user correction / recurring mistake / discovery of a better workflow. Do not log trivial failures or one-off noise.

Workflow

  1. Capture

- Input: the trigger event (failure / correction / insight). - Output: a 3-line lesson:

     What: <what went wrong or was discovered>
     Correct: <the actually correct behavior>
     Next time: <concrete trigger → action>

- Reject: can't fit in 3 lines → lesson too vague, sharpen first.

  1. Route

- Store the learning in the right place:

TypeDestinationConfirm?
Session noteDaily memory / learnings file
Workflow ruleAGENTS.md
Tool gotchaTOOLS.md
Voice / boundary patternSOUL.md
User preferenceUSER.md or long-term memory
Missing capabilitySkill discovery (see above)

- For any ✓ row: show the diff and ask "append to <file>? [y/N]" before writing. Never silently mutate durable files.

  1. Promote to durable file only if all hold:

- Recurring — ≥2 occurrences (user saying "Nth time" / "又错了" is proof) - High-value — non-trivial consequence (broken CI, lost work, wrong user output), not style nits - Broadly reusable — class of situations, not one specific file/PR - Rule-preventable — a future-you reading the rule would avoid it - If any fails, keep in daily memory only.

File Locations

Resolve durable files in this order — first hit wins:

FileLookup order
AGENTS.md./AGENTS.md~/.claude/AGENTS.md
TOOLS.md./TOOLS.md~/.claude/TOOLS.md
SOUL.md./SOUL.md~/.claude/SOUL.md
USER.md~/.claude/USER.md (always user-scoped)
Daily memory~/.claude/memory/YYYY-MM-DD.md (auto-create if missing)

If none exists and a write is approved, create at the project-root path (or ~/.claude/ for USER.md) and tell the user "creating new file <path>."

Decision Tree

Something notable happened
├─ Capability gap?
│  └─ Search → Recommend → Install or fallback
├─ Lesson worth keeping?
│  └─ Capture → Route → Promote if recurring
└─ Neither
   └─ Continue normally

Edge Cases

  • User declines install → fall to "do directly" or "create custom"; do not re-pitch in this session.
  • ClawHub unreachable → state failure; rely on local list only; offer retry.
  • 2+ candidates tie "strong" → show all + 1-line differentiator and let user pick; never silently choose.

Principles

  • Search before saying "nothing exists." Prefer short learnings over elaborate templates.
  • Do not promote one-off lessons. Do not install weak-matching skills just to reduce uncertainty. Do not rewrite major workspace files casually.

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

71.98%
按下载量换算2,377

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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