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Factory Human Digest

Builder.ioOfficialPublished by Builder.io

  • Skill
  • Content generator
  • Software development
  • MIT
  • No issues found

From the author

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.
— the description by Builder.io

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Factory Human Digest is an experimental workflow designed to aggregate and summarize work items that require human judgment. It scans configured repositories and sources—including pull requests, issues, feedback, errors, and delivery signals—to identify items that cannot be resolved by automated processes. The skill provides a structured report of these pending items, grouping them by impact or failure patterns to facilitate efficient human review. It is strictly read-only and does not perform any actions on the source systems, ensuring that all decisions remain under human control.

What it does

  • Aggregates pending tasks from multiple development sources into a single digest.
  • Groups related items by user impact or failure patterns rather than just keywords.
  • Provides configurable granularity levels: brief, balanced, and detailed.
  • Reports on the status of the inspection, including any unavailable or truncated data.
  • Identifies items that require human decisions, such as PR approvals or unresolved incidents.
  • Maintains a strict read-only policy, preventing the agent from modifying any source records.

When to use it

  • When you need a consolidated view of all outstanding tasks requiring human attention.
  • To perform a periodic review of stalled pull requests, issues, or recurring errors.
  • When you need to identify patterns in unresolved feedback or delivery failures.
  • To prepare a decision queue for a team meeting or a manual review session.

Advantages

  • Reduces cognitive load by grouping related issues and patterns.
  • Ensures visibility into items that fall outside of automated handling rules.
  • Maintains safety by strictly separating reporting from execution.
  • Provides flexible reporting windows and detail levels to suit different review needs.

Usage examples

“Generate a digest of all PRs and issues from the last 30 days in detailed format.”
The agent produces a comprehensive report listing each item with its context, prior handling, evidence, and the specific decision required.
“Give me a brief summary of all errors and feedback from this week.”
The agent provides a high-level overview of the top error groups and feedback themes, explaining why each requires human attention.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/builderio/factory-human-digest/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip factory-human-digest.zip -d .agents/skills

Documentation by Builder.io

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.

Files

SKILL.md

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.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Builder.io
Publisher
Builder.io (Official)
Source
BuilderIO/skills · skills/factory-human-digest · commit f4f10b8
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download factory-human-digest.zip