wrap
Skill2 starsChanged 48 days agoMITView on GitHub
Close out a session by writing one short, evidence-based log entry, then running whatever wrap-up duties the current project already asks for (a changelog note, a push, a handoff doc). Use when you say you're wrapping up, finishing, stopping for now, or ask to close out / log the session. Also fine to run unprompted at a natural end of substantial work.
45 other projects use a version of this.
Adopted by
Most recently taken up by
- rhasselle-oddball/claude-skillstheir own version, first seen Nov 8, 2026
- jolleyDesign/claude-skillstheir own version, first seen Nov 8, 2026
- fjwood69/moritheir own version, first seen Nov 8, 2026
- egregore-labs/egregoretheir own version, first seen Nov 6, 2026
- mag123c/toktracktheir own version, first seen Nov 3, 2026
- AcKeskin/contexturetheir own version, first seen Nov 1, 2026
Used with
Projects with it also use start, update and 10 more.
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- +1 more from anthropics
Other versions45 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 45
- UniClipboard/UniClipboard★ 2ksame name
- team-attention/stanford-cs146s-kr★ 294same name
- egregore-labs/egregore★ 293same name
- mag123c/toktrack★ 196same name
- neurofoo/agent-skills★ 111same name
- lsnackerman/raw-clauding-skills★ 45same name
- fjwood69/mori★ 32same name
- YahyaLendani/opus-tuner-claude-skill★ 14same name
- jackjin1997/ClawForge★ 12same name
- ucsandman/claude-skills★ 5same name
35 more not listed
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 repository3 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- pair-programmerSkill
- review-prSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 40 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 31
If you already run a mastery-tracking system of your own (a skill-level dashboard, a learning log with its own format), point LOG there …
- Distinctive: line 62
If nothing qualifies, say so in one line — *"nothing here the log would want as evidence.
- Distinctive: line 126
Never wire this skill — or the backup it offers — to a scheduled task or cron job.
“Common” is measured: kept by at least 6 in 10 of the 40 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/wrap
A session that produces real learning or a real decision is easy to lose — it lives in chat scrollback and is gone the moment the window closes. This skill's whole job is turning that into one short, durable, append-only log entry, then handing off to whatever else the project itself wants done at session end.
The log is an evidence base, not an activity record. Its point is letting a later review argue "here's what I can actually do unaided" from cited fact instead of vibes. A padded entry is worse than a missing one — it inflates the evidence base with work that proves nothing. A session that produced nothing worth citing gets no entry.
Configure once for your setup
This skill ships with sane defaults; edit the block below (or just tell the agent your own paths the first time you use it) to match how you actually organize things.
LOG: "./docs/session-log/YYYY-MM.md" # default: one Markdown file per month, in-repo
CONCEPTS: null # optional: a folder of durable concept notes, if you keep one
DASHBOARD: null # optional: a "current skill level" summary, if you keep one — this skill never writes to itIf you already run a mastery-tracking system of your own (a skill-level dashboard, a
learning log with its own format), point LOG there instead and skip the default shape
below in favor of yours — the mechanism (decide → write → hand off → backup) is what
this skill actually provides.
The loop
wrap():
1. decide whether this session earned an entry
2. if yes: write it (ask for the assistance level; never infer it)
3. hand off to the project's own wrap-up duties
4. offer a backup, if you have a backup routine configured1. Does this session earn an entry?
earns_entry(session):
return any([
a concept was taught, extended, or newly met,
you made a design or architectural call worth citing later,
you caught something — a drift, a wrong premise, a bad assumption,
a skill area was exercised in a way the log cannot already show,
work shipped that a future review would want as evidence,
])
# NOT sufficient on their own: files were edited, tests passed, a version was bumped,
# a long session happened. Activity is not evidence.If nothing qualifies, say so in one line — "nothing here the log would want as evidence; skipping the entry" — and go to step 3. That's a normal outcome, not a failure.
2. Write the entry
Append to the current period's log file (creating it if this is its first entry). Append only — never edit a past entry to revise a rating in hindsight; if a rating was wrong, a later entry or a separate review process corrects it, on the record.
## YYYY-MM-DD — <short title>
**Project:** <project>. **Session type:** interactive | autonomous.
**What happened:** <2-5 sentences. Concrete: name the files, the fork, the decision.
Write it for a reader six months out who has none of this context.>
**Concepts exercised:** `<slug>` (new | extended — <the delta>), ... | none.
**Assistance level:** <0-5> — <why that number>. Scale:
| Level | Name | Meaning |
|---|---|---|
| 0 | None | Book, docs, trial-and-error, your own reasoning — no AI involved. |
| 1 | Ask | Asked an AI a question, then did the work yourself. |
| 2 | Copy-paste | Took AI output (a command, a snippet, a paragraph) and adapted it. |
| 3 | IDE-assisted | Inline AI suggestions in the editor while you drove the file. |
| 4 | Agentic, supervised | Handed to an agent harness and watched it work. |
| 5 | Agentic, unattended | The harness ran while you were away. |
**Note for a future review:** <candidate evidence, named as candidate — never a rating
you're asserting as final. A separate review process, if you keep one, does the ruling.>Ask for the assistance level — don't infer it. Polish is not evidence of independence; a clean result can come from level 1 or level 5, and the whole scale is worthless if a session just guesses. One question:
"What assistance level was this for you — 0 none, 1 asked, 2 copy-paste, 3 IDE-assisted, 4 agentic supervised, 5 agentic unattended?"
Work produced inside the current agent session is level 4 or 5 by definition (supervised if you were watching, unattended if not) and needs no asking. Ask when the session discussed or reviewed something you built elsewhere.
3. Hand off to the project's own wrap-up duties
This skill owns the session log and nothing else. Read the current project's own
README/CLAUDE.md/AGENTS.md (whichever it has) for anything else it asks for at
session end — a changelog entry, a version bump, a push, a handoff document for the next
session — and do that too. If the project says nothing, the log entry was the whole
duty.
4. The backup offer
if you_have_a_backup_routine_configured():
if anything_changed_this_session() or last_backup_older_than_your_own_threshold():
offer a backup # you run it; don't automate this step itself
else:
say nothing # no backup routine configured is a normal state, not a gap to nag aboutNever wire this skill — or the backup it offers — to a scheduled task or cron job. Automated system-level actions run while nobody's watching them fail; a triggered offer that a human approves each time is the safer shape.
Prohibitions
NEVER write a rating into a dashboard/skill-tracker. # a separate review step does that
NEVER edit a past log entry. Append.
NEVER infer the assistance level from how polished the work looks.
NEVER write an entry for a session that produced no citable evidence.
NEVER pad an optional field to look thorough — omit what wasn't actually observed.
NEVER automate this on a schedule.Adopting this
Copy SKILL.md into your agent's skills directory (Claude Code: ~/.claude/skills/wrap/;
project-scoped: .claude/skills/wrap/), then fill in the Configure once for your setup
block. For agents that read a plain instructions file instead of a skills directory,
paste the loop and the entry format into that file directly.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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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- It didn't
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.

