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Draft user-reviewed feedback on using PyAutoLabs software and assistants (goals, successes, friction, evidence).

Skill by PyAutoLabs

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/pyautolabs-feedback

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Draft user-reviewed feedback on using PyAutoLabs software and assistants (goals, successes, friction, evidence). Use to share feedback, summarize experience for maintainers, or prepare an agent-assisted retrospective. Drafts only; never posts.

Use cases: agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/feedback

What's inside

Skill name
feedback
Description
Draft user-reviewed feedback on using PyAutoLabs software and assistants (goals, successes, friction, evidence). Use to share feedback, summarize experience for maintainers, or prepare an agent-assisted retrospective. Drafts only; never posts.
License
MIT
Instructions
16 lines in SKILL.md · view on GitHub

Files (5)

  • SKILL.md
  • openai.yaml · agents/
  • feedback.md
  • invitation.md
  • template.md

SKILL.md (first lines)

# Feedback

Follow [feedback.md](feedback.md). Use [template.md](template.md) for the
report and [invitation.md](invitation.md) when inviting another user to
contribute. This is the Community Agent's session-side drafting workflow,
not a new conductor. It needs no GitHub access or local checkout in quick mode.

## Assistant distribution (maintainers)

These files are the canonical workflow, template and invitation. Generate the
standalone reference with `python3 bin/sync_feedback.py ../autolens_assistant`;
use `--check` to detect drift without writing. Propagate the resulting generic
reference diff with `pyauto-brain clone sync`, then regenerate each assistant's
own project-discovery adapters. The embedded copy runs without Brain installed.

From PyAutoLabs/PyAutoBrain, MIT.

More from PyAutoLabs/PyAutoBrain

Signals

Stars
0
Forks
0
Open issues
1
Last commit (this folder)
Oct 7, 2026 (24 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

feedback skill. Agent Mart. https://agentmart.dev/skills/pyautolabs-feedback (last updated 2026-10-24)