intake
Turn raw PyAutoLabs ideas, bug reports or loose requirements into classified, sized PyAutoMind prompt files via the Intake Agent; also files a human review of…
Skill by PyAutoLabs
Chalk Labs
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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-intake
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
Use cases: agent-building
Reviews
Write a reviewNo 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/intake
What's inside
- Skill name
intake- Description
- Turn raw PyAutoLabs ideas, bug reports or loose requirements into classified, sized PyAutoMind prompt files via the Intake Agent; also files a human review of shipped work, only when asked. Use before start-dev when intent is not formalized.
- License
- MIT
- Instructions
- 10 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- intake.md
SKILL.md (first lines)
# Intake Follow [`intake.md`](intake.md) exactly. Run the deterministic intake agent as a dry run first and apply only after reviewing its decision. `--apply` writes the prompt file and runs no git. Filing is finished only once the dashboard is regenerated and committed with it (step 4) — that page is how the task gets picked up, so a prompt filed without it cannot be found yet.
From PyAutoLabs/PyAutoBrain, MIT.
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batch
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Compose the next unattended batch via the Batch Agent — a BatchDecision planned against the slot's review-minute budget, with backpressure and lane rules.
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issue-cleanup
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Reconcile the PyAuto GitHub issue trackers — audit open issues against Mind completion records and merged PRs, bucket them, close only what a human confirms.
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profiling
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Plan PyAutoLens performance campaigns, ingest fresh profiling results, or triage profiling drift through the PyAutoBrain Profiling Agent without running…
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Check in on the science via the Cortex Agent — 'cortex pull' on the laptop (pull each project's runs) and 'cortex checkin' anywhere (stamp, re-render, push…
SkillAFreshness: AClaude Code +9 - 0.556score
docs
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Start PyAutoLabs documentation, tutorial, notebook, example, or narrative-prose work through the Brain development workflow with the docs work type fixed.
SkillAFreshness: AClaude Code +9 - 0.556score
eyes
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feedback
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Draft user-reviewed feedback on using PyAutoLabs software and assistants (goals, successes, friction, evidence).
SkillAFreshness: AClaude Code +9 - 0.556score
health
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Use the single PyAuto health door for readiness assessment, validation sweeps, active-work status, release-run status, or worktree status through the Brain…
SkillAFreshness: AClaude Code +9 - 0.556score
board
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Read the PyAutoBrain agents/workflows directory, overnight exceptions and maintenance via Pages or `pyauto-brain board`; read-only.
SkillAFreshness: AClaude Code +9 - 0.556score
hygiene
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Audit and prioritise code-quality upkeep — slow tests/scripts/imports, CLI noise, dependency-cap drift, stale API docs, workspace doc blocks, git and…
SkillAFreshness: AClaude Code +9 - 0.556score
community
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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
- Repository
- github.com/PyAutoLabs/PyAutoBrain
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.561score
prm
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Judge every CI run and matrix leg, merge human-authorized PRs when green, then close the issue and Mind task and clean the worktree.
SkillAFreshness: AClaude Code +9 - 0.559score
batch
PyAutoLabs
Compose the next unattended batch via the Batch Agent — a BatchDecision planned against the slot's review-minute budget, with backpressure and lane rules.
SkillAFreshness: AClaude Code +9 - 0.557score
issue-cleanup
PyAutoLabs
Reconcile the PyAuto GitHub issue trackers — audit open issues against Mind completion records and merged PRs, bucket them, close only what a human confirms.
SkillAFreshness: AClaude Code +9 - 0.556score
docs
PyAutoLabs
Start PyAutoLabs documentation, tutorial, notebook, example, or narrative-prose work through the Brain development workflow with the docs work type fixed.
SkillAFreshness: AClaude Code +9 - 0.556score
community
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Hear and answer the PyAuto community via the Community Agent — scan Discussions and all repos for threads awaiting a reply, triage, draft human-approved…
SkillAFreshness: AClaude Code +9 - 0.556score
cortex
PyAutoLabs
Check in on the science via the Cortex Agent — 'cortex pull' on the laptop (pull each project's runs) and 'cortex checkin' anywhere (stamp, re-render, push…
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
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
intake skill. Agent Mart. https://agentmart.dev/skills/pyautolabs-intake (last updated 2026-10-24)