QA_source_index-en
Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points,…
Read and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other skills.
$ npx -y skills add agentscope-ai/skills --skill file_reader-en --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/file_reader-enContext preview
The summary Claude sees to decide when to auto-load this skill.
Read and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other skills.
name: file_reader
description: "Read and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other skills."
metadata:
builtin_skill_version: "1.2"
qwenpaw:
emoji: "📄"
requires: {}Use this skill when the user asks to read or summarize local text-based files. PDFs, Office documents, images, audio, and video are out of scope for this skill and should be handled by their dedicated skills/tools.
Use a type probe before reading:
file -b --mime-type "/path/to/file"
If the file is large, avoid dumping the whole content; extract a small, relevant portion and summarize.
Preferred for: `.txt`, `.md`, `.json`, `.yaml/.yml`, `.csv/.tsv`, `.log`, `.sql`, `ini`, `toml`, `py`, `js`, `html`, `xml` source code.
Steps:
1. Use `read_file` to fetch content. 2. Summarize key sections or show the relevant slice requested by the user. 3. For JSON/YAML, list top-level keys and important fields. 4. For CSV/TSV, show header + first few rows, then summarize columns.
If the file is huge, use a tail window:
tail -n 200 "/path/to/file.log"
Summarize the last errors/warnings and notable patterns.
Do not handle the following in this skill (they are covered by other skills):
A curated collection of skills around AgentScope ecosystem and QwenPaw applications — ready to be installed into AI coding assistants like Claude Code, Cursor, and more.
Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points,…
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