Extract Component
This skill should be used when the user asks to "extract skill", "extract command", "extract agent", "extract pattern", "save as skill", "save as command", "save as agent", "turn this into a skill", "make this a command", "save this workflow", "提取技能", "提取命令", "提取 agent", "保存为技能", "提取可复用模式", or wants to extract reusable components (skills, commands, agents) from the current conversation history.
Install
$ agentstack add skill-dropfan-claude-code-plugins-extract-component ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-dropfan-claude-code-plugins-extract-component) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Extract Component
Overview
Analyze the current conversation history and extract reusable patterns into Claude Code components — Skills, Commands, or Agents. This skill identifies valuable methodology, operation sequences, and decision workflows from the conversation and generates properly formatted component files.
Intent Classification
When the user triggers this skill, determine the extraction intent:
- Explicit type — User specifies what they want (e.g., "extract a skill", "make this a command")
- Auto-detect — User wants extraction but hasn't specified the type (e.g., "extract pattern", "save this workflow")
Component Type Guidelines
- Skill — A methodology, technique, or approach for solving a category of problems. Skills describe how to think about a problem, with progressive disclosure of details. Best for: debugging strategies, review processes, design methodologies, domain-specific expertise.
- Command — A concrete sequence of operations that can be executed with parameters. Commands are action-oriented with clear inputs and outputs. Best for: build workflows, deployment steps, data processing pipelines, repetitive multi-step tasks.
- Agent — An autonomous workflow that requires decision-making, branching logic, and tool usage. Agents operate independently within defined boundaries. Best for: code review workflows, test generation, documentation creation, complex analysis tasks.
Execution
Route to the /skill-extractor:extract command with the user's intent:
- If the user specified a type, pass it as an argument (e.g.,
/skill-extractor:extract skill) - If auto-detect, pass no type argument — the command will analyze and recommend
Invoke the command: /skill-extractor:extract $ARGUMENTS
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DropFan
- Source: DropFan/claude-code-plugins
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.