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flow-metrics-self-assessment

Decide whether flow metrics would actually help your context before adopting any. Interviews you about the symptoms and friction you want to improve, then connects those symptoms to the flow metrics that would make the problem visible — WIP, age, throughput, cycle time, distribution — and ends in one small 2-4 week experiment. Use when a team or portfolio is considering flow metrics, when someone is measuring flow but cannot say what decision the numbers change, or when a metrics dashboard exists and nothing has improved. This decides *whether* to adopt metrics at all; to set actual WIP numbers once you have, use wip-limit-configuration-coach. If the question is broad — AI pilots with no clear return, or "where do we start" — run ai-activity-to-impact first; it finds the constraint and routes here.

Quality

94%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-built coaching skill: concrete and fully actionable guidance, a clearly sequenced conversational workflow with real checkpoints, and exemplary progressive disclosure into two purpose-labeled reference files. The only weakness is mild verbosity — repeated links, a padded Source section, and rhetorical flourishes — which keeps conciseness at 4.

Suggestions

Cite the source article URL once (in the References or Source section) instead of four times throughout the body; the repeated links cost tokens without adding navigation value.

Compress the Source/credits section to a few lines (the "why" pointer and the Kanban Guide link) — the multi-paragraph attribution narrative duplicates information already conveyed by the References section.

Trim rhetorical elaboration in the SLE section (e.g. "it will be wrong in the direction that embarrasses you — under-promising on the median and under-warning on the tail") to its operative rules: read percentiles, never report the mean, an SLE is a forecast not a target, and only holds while the work mix stays stable.

DimensionReasoningScore

Conciseness

The body is efficient and assumes Claude's competence — the flow-metric guidance ("Do not force all four metrics into the answer", the percentile/SLE rules) is genuinely non-obvious domain knowledge rather than padding. But it is not fully lean: the yuvalyeret.com URL appears four times across the body, the Source section restates attribution that could be compressed, and the SLE section carries rhetorical flourishes ("it will be wrong in the direction that embarrasses you") that could be trimmed. Fits the 4 anchor (minor instances of over-explanation) better than 5 (every token earns its place).

4 / 5

Actionability

For an instruction-only skill the guidance is fully executable: concrete symptom-to-metric mappings ("WIP: Helps when the problem looks like too much active work..."), a labeled copy-paste output template ("The flow metric I would start with and why... A small experiment to try for 2-4 weeks... What would convince us to continue, adjust, or stop"), and specific conversational behaviors ("Ask one or two questions at a time"). Nothing remains abstract.

5 / 5

Workflow Clarity

Three clearly sequenced phases (Name the Problem → Define the Workflow → Hypothesize and Recommend) with explicit checkpoints: entry gating ("do not produce the final output until you have enough to produce it honestly"), a pre-recommendation validation step ("Before giving a recommendation, reflect back: ... What you are still unsure about"), adaptive feedback ("Choose the next question based on what I say"), and an outcome failure criterion ("If the conversation ends with someone about to report a mean, that run failed"). This matches the 5 anchor's explicit validation and feedback loops.

5 / 5

Progressive Disclosure

The body is a well-signaled overview with two real, one-level-deep reference files, each with a clear purpose statement: references/flow-symptom-rubric.md ("symptom statements per area, and what to do at red, amber and green. Use it for the Phase 1 prompts and for the Phase 3 next step") and references/jira-rovo-agent.md ("if your work lives in Jira, run this as a Rovo agent"). The symptom detail is appropriately split out while the body keeps only a summary list — exemplary structure with easy navigation.

5 / 5

Total

19

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete actions, explicit multi-scenario triggers, and explicit routing to adjacent skills that prevents mis-triggering. The only flaw is pervasive second-person address ("your context", "interviews you"), which violates the third-person voice convention and costs one point on specificity.

DimensionReasoningScore

Specificity

"Interviews you about the symptoms and friction you want to improve, then connects those symptoms to the flow metrics ... and ends in one small 2-4 week experiment" lists multiple concrete actions with comprehensive coverage (interview, symptom-to-metric mapping across WIP/age/throughput/cycle time/distribution, and a bounded experiment), matching the 5 anchor. However, the description repeatedly addresses the reader in second person ("your context", "Interviews you", "you want to improve"), which the rubric's third-person voice rule penalizes by 1, bringing it to 4.

4 / 5

Completeness

Explicitly answers both what ("Interviews you ... connects those symptoms to the flow metrics ... ends in one small 2-4 week experiment") and when ("Use when a team or portfolio is considering flow metrics, when someone is measuring flow but cannot say what decision the numbers change, or when a metrics dashboard exists and nothing has improved") with concrete trigger phrases — a clear 5.

5 / 5

Trigger Term Quality

Natural phrases a user would actually say are comprehensively covered: "considering flow metrics", "measuring flow", "metrics dashboard", "WIP", "cycle time", "throughput", plus adjacent triggers like "AI pilots with no clear return" and "where do we start". Matches the comprehensive-synonyms 5 anchor; only trivially compressed terms ("age" for "work item age") are missing, which does not drop it to 4.

5 / 5

Distinctiveness Conflict Risk

It carves a clear niche ("This decides *whether* to adopt metrics at all") and actively routes edge cases away: "to set actual WIP numbers once you have, use wip-limit-configuration-coach" and "run ai-activity-to-impact first". Minimal conflict risk — a 5.

5 / 5

Total

19

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

Total

15

/

16

Passed

Repository

yyeret/ai-impact

Path

skills/flow-metrics-self-assessment/SKILL.md

Reviewed

Table of Contents

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