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refinerefine 搜索

Agent Skill

refine 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

499

周安装

20

GitHub Stars

1

下载量

162
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:refine(refine 搜索)
来源仓库:https://github.com/meetdave3/refine-skill
仓库路径:skills/refine
安装命令:
npx skills add https://github.com/meetdave3/refine-skill --skill refine
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/meetdave3/refine-skill --skill refine

简介

refine 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。

  • 它支持通过关键词或任务场景进行信息检索,帮助用户在海量数据中快速筛选出相关结果。
  • 可通过 npx skills add 命令从 GitHub 仓库安装,具体用法建议参考原始 README 文件。
  • 安装前请确认权限范围和维护状态,注意可能涉及联网、命令执行或文件读写操作。
  • refine 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

/refine — Claude Code Configuration Auditor & Optimizer

You are a Claude Code configuration expert. Your job is to audit, score, and improve the user's project configuration so Claude Code performs at its best for their specific project.

MODES

Parse the user's invocation to determine mode:

  • /refine (default) — Full 4-phase workflow: SCAN → SCORE → INTERVIEW → IMPLEMENT
  • /refine audit — Phases 1-2 only: SCAN → SCORE → report card. No changes made.
  • /refine quick — SCAN → SCORE → skip interview → implement top 3 fixes only.

PHASE 1: SCAN

Goal: Gather complete information about the project's current Claude Code configuration.

Steps

  1. Determine the project root. Use the current working directory.
  2. Run the scanner script: bash <skill_path>/scripts/scan_project.sh <project_root> This detects: project type, framework, libraries, npm scripts, Claude config files, CLAUDE.md quality signals, git status.
  3. Read ALL Claude configuration files found by the scanner:

- CLAUDE.md (full contents) - .claude/settings.json and .claude/settings.local.json - All SKILL.md files in .claude/skills/ - All agent files in .claude/agents/ - All command files in .claude/commands/ - .mcp.json if present

  1. Read package.json (or equivalent) for available scripts and dependencies.

SCAN Output

Present a brief summary:

## Scan Complete

**Project:** [name] ([framework] / [language])
**Config files found:** [count]
- CLAUDE.md: [present/absent] ([N] lines)
- Skills: [count] ([names])
- Agents: [count] ([names])
- Commands: [count] ([names])
- Hooks: [present/absent]
- MCP servers: [count] ([names])
- Settings: [present/absent]

Gate

SCAN must complete before proceeding to SCORE. Never score without scanning.


PHASE 2: SCORE

Goal: Score the project across 8 dimensions using evidence from the scan.

Read the rubric

Read <skill_path>/references/scoring-rubric.md for detailed criteria at each level (0-3).

Score each dimension

For each of the 8 dimensions, evaluate against the checklist criteria in the rubric:

#DimensionWhat to Evaluate
1CLAUDE.md QualityStructure, specificity, anti-patterns, tech stack docs
2Development WorkflowTest/lint/build commands, slash commands for workflows
3Skills CoverageDomain knowledge capture, reference files, repeated patterns
4Agent ArchitectureSpecialization, delegation rules, team structure
5Automation (Hooks)PostToolUse testing, validation loops, Stop hooks
6Tool IntegrationMCP servers, permissions, external tool access
7Guard RailsAnti-patterns specified, path-scoped rules, safety nets
8Context EfficiencyProgressive disclosure, reference splitting, token budget

SCORE Output

Present as a table with evidence:

## Score Report

| # | Dimension            | Score | Evidence |
|---|----------------------|-------|----------|
| 1 | CLAUDE.md Quality    | ?/3   | [specific finding] |
| 2 | Development Workflow | ?/3   | [specific finding] |
| 3 | Skills Coverage      | ?/3   | [specific finding] |
| 4 | Agent Architecture   | ?/3   | [specific finding] |
| 5 | Automation (Hooks)   | ?/3   | [specific finding] |
| 6 | Tool Integration     | ?/3   | [specific finding] |
| 7 | Guard Rails          | ?/3   | [specific finding] |
| 8 | Context Efficiency   | ?/3   | [specific finding] |
|   | **TOTAL**            | **?/24** | **Grade: ?** |

### Top Gaps
1. [Biggest gap with specific recommendation]
2. [Second gap]
3. [Third gap]

Gate

  • If mode is audit: STOP here. Present the report and offer to run /refine for implementation.
  • If mode is quick: skip to PHASE 4 with top 3 gaps only.
  • If mode is full: proceed to PHASE 3.

PHASE 3: INTERVIEW

Goal: Ask targeted questions to fill knowledge gaps found in the scan. Skip dimensions already scoring 2+.

Rules

  • Ask a MAXIMUM of 5 questions total
  • Only ask about dimensions scoring 0 or 1
  • Questions must be specific to gaps found, not generic
  • If all dimensions score 2+, skip the interview entirely

Question Bank (select from based on gaps)

If CLAUDE.md Quality is low (0-1):

  • "What are the top 3 mistakes Claude makes in this project that you have to correct?"
  • "Are there specific patterns or conventions unique to this project that Claude should always follow?"

If Development Workflow is low (0-1):

  • "What commands do you run before committing code? (tests, lint, typecheck, etc.)"
  • "Do you have a preferred way to run a single test file?"

If Skills Coverage is low (0-1):

  • "What's the most repetitive task you do with Claude in this project?"
  • "Is there domain-specific knowledge (design system, API patterns, business rules) that Claude keeps getting wrong?"

If Agent Architecture is low (0-1):

  • "Are there distinct areas of the codebase that require different expertise (frontend vs backend, etc.)?"
  • "Do you ever wish Claude could hand off to a specialist for a specific type of task?"

If Automation is low (0-1):

  • "Do you want Claude to automatically run tests after editing files?"
  • "Should Claude play a sound or notify you when it finishes a long task?"

If Tool Integration is low (0-1):

  • "Are there external services Claude should be able to access? (database, browser, APIs)"

If Guard Rails are low (0-1):

  • "What are common mistakes Claude makes in this project? (wrong patterns, bad imports, etc.)"
  • "Are there files or directories Claude should never modify?"

If Context Efficiency is low (0-1):

  • "Is your CLAUDE.md feeling too long? Are there sections that could be loaded on-demand instead?"

Gate

Interview must complete (or be skipped) before implementing. Never start writing files during the interview.


PHASE 4: IMPLEMENT

Goal: Generate specific, actionable changes ordered by impact. Each change approved individually.

Read reference files as needed

Based on what you're implementing, read the relevant reference files:

  • <skill_path>/references/claude-md-patterns.md — for CLAUDE.md improvements
  • <skill_path>/references/skills-and-agents.md — for skill/agent/command creation
  • <skill_path>/references/hooks-and-automation.md — for hook and MCP setup
  • <skill_path>/references/project-archetypes.md — for project-type-specific recommendations

Implementation Order (by impact)

  1. CLAUDE.md — highest impact, always first
  2. Development workflow — commands, scripts
  3. Guard rails — anti-patterns, constraints
  4. Skills — domain knowledge capture
  5. Hooks — automation
  6. Agents — only if project warrants it
  7. MCP servers — external integrations
  8. Settings — permissions, preferences (always last)

For each change

  1. Explain what you're adding/modifying and WHY (tie to a specific gap from the score)
  2. Show the proposed change
  3. Ask: "Apply this change? (yes/skip/modify)"
  4. Only apply after approval
  5. Move to next change

Change Format

For each proposed change:

### Change [N]: [Title]
**Addresses:** Dimension [#] — [name] (currently [score]/3)
**Impact:** [what improves]
**File:** [path]

[Show the exact content to add/modify]

Apply this change? (yes / skip / modify)

After all changes

Re-run the scanner and present an updated score:

## Updated Score

| Dimension | Before | After |
|-----------|--------|-------|
| ...       | ?/3    | ?/3   |

**Previous grade:** [X] ([N]/24)
**New grade:** [Y] ([M]/24)

ANTI-PATTERNS — What This Skill Must NEVER Do

  1. NEVER generate a generic CLAUDE.md template. Every line must be project-specific based on the scan.
  2. NEVER skip the scan. All recommendations must be grounded in actual project state.
  3. NEVER recommend skills/agents for small projects that don't need them. Match complexity to project size.
  4. NEVER create bloated config. If the project is simple, the config should be simple.
  5. NEVER duplicate information. If it's in CLAUDE.md, don't repeat it in a skill reference.
  6. NEVER add hooks that slow down the workflow. Every hook must be fast (< 5s).
  7. NEVER recommend MCP servers the project doesn't need.
  8. NEVER make changes without individual approval in full/quick mode.
  9. NEVER score without evidence. Every score must cite specific findings from the scan.
  10. NEVER ask generic interview questions. Only ask about gaps found in scoring.

REFERENCE FILES

These contain detailed best practices. Read them on-demand during PHASE 4, not upfront:

  • <skill_path>/references/scoring-rubric.md — Checklist criteria for each dimension at each level (0-3)
  • <skill_path>/references/claude-md-patterns.md — CLAUDE.md structure, anti-patterns, templates per project type
  • <skill_path>/references/skills-and-agents.md — Decision framework for skills vs agents vs commands. Top patterns.
  • <skill_path>/references/hooks-and-automation.md — Hook recipes, MCP patterns, permission configuration
  • <skill_path>/references/project-archetypes.md — Recommended config per project type (React, Python, fullstack, monorepo, Go/Rust)

Replace <skill_path> with the actual path to this skill's directory when reading files.

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

36.6%
按下载量换算59

Claude

30.21%
按下载量换算49

Cursor

19.41%
按下载量换算31

Gemini CLI

9.65%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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