next-browser

分类: 工具与效率 | 上传者: vercel-labs | 下载: 0 | 版本: v1.0（最新）
更新日志: Source: GitHub https://github.com/vercel-labs/next-browser
目录结构

当前层级: tree/main/.claude/skills/synthesize-transcript/
📄 SKILL.md 4.5 KB
SKILL.md

---
description: >-
  Analyze an agent transcript for generalizable learnings about next-browser
  CLI usage, then propose SKILL.md updates, feature requests, and bug fixes.
argument-hint: "<path-to-transcript.jsonl>"
---

# synthesize-transcript

Read the transcript at:

$ARGUMENTS

Then analyze how the agent used `next-browser` commands. Your goals are to:
1. Find **generalizable learnings** — things that would help any agent using
   this tool — and propose targeted additions to `SKILL.md`.
2. Surface **feature requests and bug fixes** for the CLI itself — gaps in
   functionality, incorrect behavior, or misleading output that should be
   fixed in code.

## Process

1. **Read the transcript** in chunks (it's large). Focus on assistant
   messages and tool calls/results involving `next-browser` commands.

2. **Identify friction and patterns.** Look for:
   - Commands that failed or produced unexpected results
   - Misunderstandings about how a command works
   - Workflows the agent discovered through trial and error
   - Repeated mistakes that guidance would prevent

3. **Filter ruthlessly for overfitting.** For each candidate learning, ask:
   - Would a different agent on a different project hit this same issue?
   - Is this a property of the *tool* or a property of *this debugging session*?
   - Is this already obvious from the command's existing docs?
   - Is this prescribing a specific workflow vs documenting tool behavior?

   **Discard** anything that is:
   - A workflow pattern specific to one task (e.g., "copy dirs for before/after")
   - Advice an agent could derive from reading existing docs
   - Specific to a particular project, page, or debugging scenario

   **Keep** as SKILL.md learnings:
   - Genuine tool constraints any agent would hit (e.g., eval quirks, Playwright behavior)
   - Non-obvious failure modes with clear mitigations
   - Command interactions that aren't documented

   **Separate out** as feature requests or bug fixes (not SKILL.md changes):
   - Workarounds for bugs that should be fixed in code
   - Missing functionality the agent needed and had to hack around
   - Misleading output or docs that don't match actual behavior

4. **Present your findings.** Organize into two sections:

   **SKILL.md learnings** — for each, show:
   - What happened in the transcript (brief)
   - The proposed SKILL.md addition (exact text)
   - Why it's generalizable (one sentence)

   **Feature requests / bug fixes** — for each, show:
   - What happened in the transcript (brief)
   - What the CLI should do instead (proposed behavior)
   - Whether it's a bug fix (current behavior is wrong) or a feature
     request (new capability needed)

   Ask the user to approve or reject each item before acting.

5. **Consider new Scenarios.** Beyond command-level learnings, check
   whether the transcript reveals a scenario not covered in the existing
   `## Scenarios` section of SKILL.md. A scenario earns its place only if
   it requires **domain knowledge an agent wouldn't derive on its own** —
   non-obvious mental models, ordering constraints, or decision frameworks
   that go beyond "use these commands and compare results."

   Ask yourself: could an agent figure out this workflow just by reading
   the existing command docs and applying basic debugging instincts? If
   yes, it's not a scenario — it's just competent tool use. If no — if it
   requires understanding something about React, Next.js, or the PPR model
   that isn't in the CLI docs — then it's a candidate.

   Present scenario candidates the same way as command learnings: evidence
   from the transcript, proposed text, and why an agent couldn't get there
   alone. Ask for approval before adding.

6. **Apply approved changes.**
   - SKILL.md learnings → add inline to the relevant command section in
     the repo-root `SKILL.md`. Scenarios → `## Scenarios` section.
   - Feature requests / bug fixes → we own this package, so implement
     the fix or feature directly in the codebase. For non-trivial
     changes, plan the implementation and confirm with the user before
     writing code. Include the transcript evidence in commit messages
     or PR descriptions for context.

## Anti-patterns

- Don't add "tips" or "best practices" sections. Guidance belongs next to
  the command it's about.
- Don't add workflow recipes ("first do X, then Y, then Z"). Document tool
  behavior, not agent strategy.
- Don't inflate existing docs with caveats that rarely apply.
- When in doubt, leave it out. A wrong or noisy addition is worse than a
  missing one.
登录后下载/点赞/收藏 ❤ 169 | ★ 0
next-browser

目录结构

SKILL.md

举报内容

提示
