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BuilderIO

Factory Human Digest skill

Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Use for a human decision queue or bounded review.

$npx skills add BuilderIO/skills --skill factory-human-digest
View this skill on GitHubBuilderIO/skills/skills/factory-human-digest/SKILL.md
Pack stars
4,663
Pack installs
6.5k
Alyn Score
61/99
Updated
8 days ago
License
MIT
– views – installs via Alyn

Install Factory Human Digest

Pick your agent. Every command is ready to paste.

$npx skills add BuilderIO/skills --skill factory-human-digest

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads factory-human-digest when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the factory-human-digest skill”. In Codex, type $factory-human-digest.

The skill itself

SKILL.md

FolderGitHub

Factory Human Digest

Start with the Factory guide for workflow setup and configuration.

Read .agent-factory/config.yaml and apply the optional skill_prompts.factory-human-digest entry as additional project guidance. Inspect only the repositories and sources it authorizes.

Choose the scope

For a manual run with no narrower request or workflow settings, include all configured source categories, use the last 7 days, and report at balanced granularity. A user can narrow or expand the request in ordinary language, for example, “PRs only, last 30 days, detailed” or “everything from this week, brief.” Use configured repository and source boundaries even when the requested time window or category changes. For scheduled runs, use workflows.human-digest from the config.

Categories can include pull requests, issues, feedback, errors, telemetry, and stalled or failed delivery work. A category filter selects records to inspect; it does not expand access to another project or integration.

Find items that need a person

Read configured sources and repositories completely for the selected window. Follow pagination and record the actual dates, filters, counts, and any source that was unavailable or truncated. Include items held outside the normal agent-handled flows, such as:

  • pull requests waiting for human review, approval, a merge decision, or product judgment;
  • issues, feedback, or errors held for missing context, unclear intent, risk, conflicting evidence, or a decision outside the configured automation rules;
  • new answers to information requests that have not yet been re-triaged;
  • recurring incidents, UX concerns, or delivery work that stopped without a verified resolution or safe authorized next step.

Exclude work that has a verified terminal outcome unless it reopened, recurred, or received new information during the window. A label or agent summary alone does not prove an item is resolved. If the source cannot distinguish pending from resolved, report that uncertainty instead of guessing.

Group patterns and preserve evidence

Group related items by the underlying user impact or failure pattern, not by similar words alone. For each group, preserve the date range, count of distinct records, source links, representative evidence, and the human decision needed. Separate event volume from affected people or sessions unless the source has a reliable identity definition. Keep unrelated reports separate even when one summary would be shorter.

Use the configured granularity, or balanced by default:

  • Brief: top groups, why each needs a person, and links to the source items.
  • Balanced: grouped summaries, representative evidence, and a linked list of each item needing a decision.
  • Detailed: one entry per item with relevant context, prior handling, evidence, and the exact decision or next step.

Report; do not take the actions

Start with coverage: window, categories, repositories, sources, filters, and pagination status. Then report recurring themes and the decision queue. For each entry include links, why the normal flow did not handle it, prior replies or dispositions, the decision required, and an owner or due date only when the source provides one.

This workflow is read-only. Do not reply, approve, merge, assign, close, change status, or notify people from the digest. Route any requested action through its owning Factory workflow and its separate configured policy. Missing or partial source data must remain visible in the report; it is never evidence of an empty queue.

Tips for Factory Human Digest

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 26 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Factory Human Digest

What does the Factory Human Digest skill do?

Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Use for a human decision queue or bounded review.

How do I install Factory Human Digest?

Run "npx skills add BuilderIO/skills --skill factory-human-digest" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Factory Human Digest work in Cursor and Codex?

Yes. Factory Human Digest uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Factory Human Digest free?

Factory Human Digest is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Factory Human Digest?

Factory Human Digest is published by BuilderIO in the BuilderIO/skills repository, together with 25 other skills.

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