unpack
Skill1 starsChanged 2 months agoMITView on GitHub
Manual-only entry point for the session-pack skill's unpacking workflow, triggered by the user typing `/unpack`. Not for model auto-invocation — use the session-pack skill for that.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- MichaelSou1/skillstheir own version, first seen Oct 13, 2026
- TaiMaBenJi/taima-skillstheir own version, first seen Oct 11, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- MichaelSou1/skills★ 1same name
- TaiMaBenJi/taima-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository2 other files it gives its agents.
- packSkill
- session-packSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Read <skill-dir>\SKILL.md in full (if not already in context) and follow its
- Very specific: line 23
If the user supplied an argument with /unpack, treat it as the path to the .ccpack bundle.
- Distinctive: line 35
Ask the user for a value for every unresolved slot (do not guess), then install:
- Very specific: line 39
Only add --strip-unknown if inspect flagged unknown record types, and only add --force (and say so first) to overwrite existing project …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/unpack
Thin entry point. All logic, the shared script, and the reference material live in the session-pack skill. Do not reimplement anything here.
Locate that skill's directory first — do not assume a fixed path, since session-pack may be
installed as a standalone skill (~/.claude/skills/session-pack or
<repo>/.claude/skills/session-pack) or as a plugin ($env:USERPROFILE\.claude\plugins\marketplaces\session-pack,
with ${CLAUDE_PLUGIN_ROOT} pointing at it). Call this resolved directory <skill-dir>
below.
Steps
- Read
<skill-dir>\SKILL.mdin full (if not already in context) and follow its "Unpacking (receiver)" section, steps 1-4, exactly. - If the user supplied an argument with
/unpack, treat it as the path to the.ccpackbundle. Otherwise ask for it. - Dry-run first, never unpack blind:
Report the CLI version delta, unknown record types, slots needingpython <skill-dir>\scripts\ccpack.py inspect <bundle>.ccpack --cwd <target project root>--bind, the capability diff (MISSING/CHECK), and the file diff (to restore / differ locally / already missing). Ifinspectprints alean mode : ABRIDGEDline, say so: the transcript resumes normally, but file bodies and long tool results inside it read as[ccpack lean: N chars omitted]. If the user needs the full record, the sender has to re-pack without--lean— it cannot be restored on this side. - Ask the user for a value for every unresolved slot (do not guess), then install:
Only addpython <skill-dir>\scripts\ccpack.py unpack <bundle>.ccpack --cwd <target> [--bind SLOT=VALUE ...] [--strip-unknown] [--force]--strip-unknownifinspectflagged unknown record types, and only add--force(and say so first) to overwrite existing project files. - Hand off the resume command the script prints. Do not run
claude --resumeon the user's behalf — it is interactive and must run in their own terminal.
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

