wrap
Skill1 starsChanged 3 months agoMITView on GitHub
Wrap up a session: scan it for durable information that was produced or decided but never persisted to its proper home, surface each item with a proposed home, and — on your confirmation — write it there. Use when the user says "wrap", "wrap up", "wrap the session", "let's close out", or before ending a long working session. Nothing important should die with the session.
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.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AnthropicSkillstart
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.
Also in 5 projects that use this
AnthropicSkillupdate
Sync tasks and refresh memory from your current activity. Use when pulling new assignments from your project tracker into TASKS.md, triaging stale or overdue tasks, filling memory gaps for unknown people or projects, or running a comprehensive scan to catch todos buried in chat and email.
Also in 3 projects that use this
LangChainSkillremember
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
Also in 3 projects that use this
termdockSkillrecall
Retrieves cross-session memories about past decisions, lessons, and patterns. Use when user asks about prior work, past decisions, or mentions a feature. Triggers include check memory, what did we decide, how did we solve.
Also in 3 projects that use this
Microsoft AzureSkillbuild
Build the TypeSpec Rust emitter from source. Run this after cloning the repo, after pulling changes, or when TypeScript source files have been modified.
Also in 3 projects that use this
SentrySkillreview
Fixture review skill.
Also in 7 projects that use this
- +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 repository10 other files it gives its agents.
- deploySkill
- designSkill
- docsSkill
- gateSkill
- groomSkill
- investigateSkill
- milestone-seedSkill
- milestone-wrapSkill
- opsSkill
- sync-guidelinesSkill
The file
Files
Wrap
Long sessions accumulate durable facts — decisions, gotchas, root causes, config locations,
task/status changes, edits discussed-but-not-made — that are easy to leave un-written. Per the
memory policy (procedures.md), durable context must live in procedures.md, a project
context.md, Notion, or the code — never in per-Claude-Code memory. /wrap is the
end-of-session checklist that catches what didn't make it home.
Step 1 — Scan the session
Review this session's transcript for durable items produced or discovered. Look for:
- Decisions locked (design / architecture / process) not yet written to Notion or the rulebook.
- Rules / conventions the human asked to "remember."
- Gotchas, root causes, non-obvious facts discovered (a bug's mechanism, where a config lives, a fragile invariant).
- Notion / task changes made or agreed but not applied (status flips,
Depends Onedits, tasks to file). procedures.md/context.mdedits discussed but never made.- Code fixes identified but neither applied nor filed as a task.
Step 2 — Classify each item by its correct home
Per the memory policy, propose exactly one home per item:
procedures.md— a universal, cross-project rule.- project
context.md— a per-project fact or specific. - Notion — decisions, task definitions, source-of-truth docs (task page / architecture page / project context).
- the code — if it's verifiable-in-source and belongs as a change → file a 🔲 Backlog task (never hand-edit a managed repo from here).
- drop — ephemeral; no need to persist. Say so explicitly so it's a choice, not an oversight.
Step 3 — Present for sign-off
Show a compact table grouped by home: item → proposed home → the exact text/change you'd write. Recommend; don't dump. Keep it skimmable.
Step 4 — Persist confirmed items
On the human's confirmation, write each item to its home:
procedures.md/context.md→Edit.- Notion → the appropriate MCP update/create (new tasks start at 🔲 Backlog per
config/task-writing.md). - code → file the 🔲 Backlog task.
Never silently persist. Never write to per-Claude-Code memory. If an item's home is ambiguous, ask rather than guess.
Step 5 — Report
Summarize what was persisted and where, plus anything the human declined — so every durable item ends the session either written down or deliberately dropped.
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
- Partly
- 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.

