tmp-snapshot
Save content from the current conversation to /tmp/<descriptive-kebab-name>.md, then return the absolute path and an outline (every header with a one-line summary). Use when the user says "save this to /tmp", "snapshot this", "dump the X part", "stash this", "save the discussion about Y", or otherwise asks to drop content from the chat into a quick scratch markdown file.
Works with
---
name: tmp-snapshot
description: Save content from the current conversation to /tmp/<descriptive-kebab-name>.md, then return the absolute path and an outline (every header with a one-line summary). Use when the user says "save this to /tmp", "snapshot this", "dump the X part", "stash this", "save the discussion about Y", or otherwise asks to drop content from the chat into a quick scratch markdown file.
license: MIT
---
# tmp-snapshot
Save content the user asked for into `/tmp/<name>.md`, then reply with the path and an outline. Nothing more.
## Steps
1. **Pick the content.** Use what the user pointed at:
- A topic from this conversation ("save the auth part") → extract just that slice.
- The whole chat ("save everything we just discussed") → summarize the substantive bits.
- Text they pasted into their message → use it verbatim.
If the slice is ambiguous, ask **once** before writing.
2. **Pick a kebab-case filename.** 2–4 words, descriptive of the content, no dates unless they matter to the topic. Path is always `/tmp/<name>.md` — never a subfolder unless the user specifies one. Overwrite if it exists; `/tmp` is scratch.
3. **Write the file** as standalone markdown: one `#` H1 title, `##` for sections, `###` for sub-sections. It should read cleanly without the chat as context. No YAML frontmatter unless the user asks.
4. **Reply with the path + outline.** No preamble, no closing summary. Just those two things.
## Outline format
A tree of every header in the saved file, each followed by **one short sentence** summarizing what's in that section. Indent by header depth.
### Example reply
`/tmp/auth-token-rotation.md`
```
# Auth token rotation — Migrate from server sessions to JWT with refresh tokens.
## Current state — Sessions in Postgres, 24h expiry.
## Target — Short-lived JWT access + HttpOnly refresh cookie.
## Migration — Three-phase rollout plan.
### Phase 1 — Dual-write to both stores.
### Phase 2 — Read new, fall back to old.
### Phase 3 — Drop legacy session table.
```
## Notes
- Keep each summary to one line. The outline should be glanceable, not a re-paste of the doc.
- If the user asks for a different directory (e.g. `/tmp/notes/`), honor it — but default is bare `/tmp/`.
- Don't ask "are you sure?" before overwriting — that's what `/tmp` is for.More Testing skills
tdd
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Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

