菜单
Use when the user wants to package all source code into a tar.gz archive for upload or checkpoint. Creates a comprehensive archive excluding binaries and build artifacts.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/ahrav/scratch-scanner-rs --skill archive-full命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | archive-full |
| description | Use when the user wants to package all source code into a tar.gz archive for upload or checkpoint. Creates a comprehensive archive excluding binaries and build artifacts. |
Package all source code in the repo into a single .tar.gz archive, excluding binaries and build artifacts.
All git-tracked files except:
*.pack, *.bin, *.so, *.dylib, *.a)target/, fuzz/target/, fuzz/artifacts/, fuzz/corpus/)mutants.out*/, proptest-regressions/, tests/failures/).DS_Store)*.tar.*)perf.data)Run from the project root:
TIMESTAMP=$(date +%Y%m%d-%H%M%S)
ARCHIVE="scanner-rs-full-${TIMESTAMP}.tar.gz"
git ls-files -z \
| grep -zZv -e '\.pack$' -e '\.bin$' -e '\.so$' -e '\.dylib$' -e '\.a$' -e 'perf\.data' \
| tar czf "${ARCHIVE}" --null -T -
echo "Created ${ARCHIVE} ($(du -h "${ARCHIVE}" | cut -f1))"
Report the archive name and size to the user when done.
Write-then-verify documentation pipeline. Use when a user asks to improve comments or docs, explain algorithms or design choices, write or upgrade docstrings, or raise documentation quality for a codebase (especially Rust crates). Writes docs, then automatically verifies every claim against code reality using a fresh agent to eliminate confirmation bias.
Use when you have code review findings, PR comments, or review reports that need to be systematically addressed — especially when there are multiple findings across different files and severities
Use when creating any beads task — auto-researches the codebase, links related tasks, and produces a rich self-contained description from a structured template. Accepts minimal intent and outputs a complete task ready for agent implementation.