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factory-lookback

Look across feedback, operational data, errors, and delivery failures over a defined period to find recurring problems. Trace patterns to shared causes, examine earlier fixes, and recommend systemic changes, implementing and verifying them only when configured policies allow.

中文简介正在准备中。当前显示英语简介。

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Experimental workflow for auditing recurring feedback, telemetry, errors, and brittle delivery paths to find systemic fixes. Use for periodic or requested cross-source lookbacks, not routine single-item intake.

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适用场景

  • Review recurring problems across feedback and operational records
  • Investigate symptoms that returned after an earlier fix
  • Find shared causes across related features and callers
  • Verify regression coverage and whether live recurrence stopped

包含的文件(1)

  • SKILL.md4.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Factory Lookback

Read .agent-factory/config.yaml and apply the optional skill_prompts.factory-lookback entry as additional project guidance. Use this workflow when asked to look back across a bounded period or when an enabled workflows.lookback automation runs. Its purpose is to find patterns that normal item-by-item flows keep missing or fixing only temporarily.

Build a bounded evidence set

  1. Confirm the configured sources, scope, time window, comparison period, and output policy before querying. Use only connected sources the host can read.
  2. Enumerate the full configured range, follow every page or cursor, and record source filters, dates, counts, and unavailable or truncated sources. Do not report a complete lookback when coverage is partial.
  3. Include relevant feedback, analytics or telemetry, runtime errors, recurring CI or review failures, repeated recovery attempts, replies to earlier information requests, and prior fixes marked shipped or verified when those records are available.
  4. Cluster records by underlying symptom and affected boundary, not wording alone. Keep event counts, affected users or sessions, time range, versions, and distinct source links separate; do not infer identity or impact from unstable identifiers.

Find the systemic cause

For each recurring cluster, trace representative reports to their original source and inspect prior dispositions, commits, tests, and release evidence. Check whether the symptom recurred after a claimed fix, appeared through a sibling caller, or escaped because the normal workflow lacked a signal, owner, verification step, or recovery path.

For a report previously held for more information, inspect the full source thread for new replies. Re-triage the original report with the new details and check whether the normal fix flow now has enough evidence to proceed. Keep the item open when the answer is still incomplete; do not treat a reply as a fix or as permission for another action.

Reproduce a representative current case when possible. Trace related callers and surfaces to the shared boundary that can explain the evidence. Prefer one verified correction at that boundary over a pile of caller-specific patches. Separate confirmed causes from hypotheses, and state what evidence would disprove each proposed explanation.

Change and verify

Use workflows.lookback.implement to decide whether to recommend only, prepare a fix, or publish an authorized change. A recurring pattern is evidence for investigation, not automatic permission to edit code or take an external action. Keep reply, issue closure, PR approval, merge, deployment, and notification under their own configured policies.

When implementation is allowed, make the smallest systemic fix that addresses the confirmed cause. Add or update a regression check at the boundary, exercise the representative failure and relevant sibling paths, and inspect the same signals again after the fix. A test, merge, or “fixed” label alone does not prove that the live recurrence stopped.

Report

For each pattern, report:

  • the source links, date range, query coverage, counts, and impact evidence;
  • prior fixes or dispositions and whether the symptom returned;
  • information requests, answers received, and whether they changed the evidence or next step;
  • confirmed cause, alternatives still uncertain, and the shared boundary;
  • recommended or completed systemic change, regression proof, and remaining rollout or live-verification work;
  • independent reply, close, publish, approval, merge, deployment, and notify decisions, plus any exact human decision required.

Do not treat unavailable telemetry or an incomplete history as evidence that a pattern does not exist.

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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