Agent skill · AI & Agents

close

Commit the session to durable vault memory and prepare a clean resume point

davepoongithub.com/davepoonGitHub ↗
claude-coderead-onlyMIT
Install
npx skills add davepoon/buildwithclaude --skill close --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Allowed tools: ReadGlobGrepEdit(**/vault/**)Write(**/vault/**)Write(**/.aigent/**)Bash(python3*daemons*)Bash(node*daemons*)Bash(bash*daemons*)
Path: plugins/aigent-os/skills/close/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,251
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Session Close Run the aigent-OS end-of-session memory commit inline. The close must be idempotent: rerunning it after a partial failure must not duplicate ledger entries, capsules, or session summaries. All operator-owned durable state lives under `vault/`. Framework indexes such as `memory/SKILL_LEDGER.md` remain outside the vault and are not session memory. ## Preflight — vault-root safety che

More from buildwithclaude
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About this skill
What does the close skill do?

Commit the session to durable vault memory and prepare a clean resume point

How do I install it?

Run `npx skills add davepoon/buildwithclaude --skill close --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From davepoon/buildwithclaude, a repository with 3,251 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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