process-audit

Solid

Use when an operational process needs its start, end, owner, outcome, representative sample, measured queues or handoffs, bottleneck evidence, or controlled improvement experiment made explicit.

AI & Automation 476 stars 127 forks Updated yesterday NOASSERTION

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Quality Score: 83/100

Stars 20%
89
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- Generated from `.claude/skills/_available/operations/process-audit/SKILL.md` by `scripts/generate-agents-skills.py`. Do not edit. --> # Process audit ## When to use Use this skill when a repeatable process needs an evidence-backed health audit, measured handoff and rework analysis, bottleneck diagnosis, or a controlled improvement experiment. Do not use it to change a live process, assign blame, impose a policy, or declare an improvement successful from opinions alone. Not for a process with no explicit start, end, owner, outcome, or observable sample unless those gaps are reported as unknown. ## Inputs and source discipline Define the process boundary with an explicit start event, end event, owner, and desired outcome. Record the review window, timezone, scope, as-of date/time, and source date for the process definition. If ownership or outcome is not evidenced, use `TBD` or unknown; do not infer it from a job title or the person who supplied notes. Build a source ledger from representative records, timestamps, queue views, handoff logs, rework records, support or operational data, and participant observations. For each observation record the source, source date, as-of date/time, locator, timestamp and timezone, sampling frame, and freshness. Separate directly observed measures from participant interpretation. ## Method 1. State the start, end, owner, outcome, population, and review window. Make the intended outcome testable without assuming that the current...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
7 months ago
Last Updated
yesterday
Language
Python
License
NOASSERTION

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