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extending-kanban-from-output-to-outcome

Extend a board that ends at Released, Deployed or Done with one adoption/learn lane, so a team stops treating deployment as success. Coaches where to put the lane and at what altitude, its entry and exit criteria, what telemetry has to exist first, how to limit it, how to backfill the work already closed as Done, and how to answer the overhead objection honestly. Use when features ship and nobody knows whether anyone uses them, when AI use cases are deployed and unused, or when a spec-driven board has a column for every step of the software and none for the human on the other end. For the numbers behind the limit this puts on the new state, use wip-limit-configuration-coach. If the epics themselves are written as output, run outcome-framing-coach first. 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%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

88%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 strong coaching-skill body: highly actionable with ready-to-run prompts, explicit entry/exit criteria, and a return checklist, sequenced as a real conversation with honest abort paths. The only slack is minor rhetorical repetition and a single unresolvable internal link in an otherwise flat, well-organized single file.

Suggestions

Trim the motivational prose that restates the deployment-vs-adoption point already carried by the run-prompt and preference snippet — e.g., the opening paragraphs of "The problem this addresses" and the "You will not get anywhere close to the 10x" passage — to tighten conciseness from 4 to 5.

Move the "Source" / further-reading section into a small references file and fix or drop the unresolvable ../../CREDITS.md link, keeping SKILL.md a lean overview and strengthening the progressive-disclosure structure.

DimensionReasoningScore

Conciseness

The body is dense and assumes competence — it never explains what kanban or WIP is — but a few passages restate ideas Claude could infer or that are already carried elsewhere: the motivation in "Teams deploy a feature and call it a day. The feature might be working and still not be useful...", the "You will not get anywhere close to the 10x" rhetoric, and the deployment-as-success idea repeated across the intro, the run-prompt, and the preference snippet. This matches anchor 4 (efficient, minor instances that could be trimmed) rather than 5 (every token earns its place) and rather than 3 (no padded explanations of known concepts).

4 / 5

Actionability

For an instruction-only skill the guidance is fully executable: six numbered diagnostic questions, literal entry/exit criteria ("Entry: we believe the thing is useful and it's ready to be used. / Exit: we have evidence that people are actually using it."), a copy-paste "Prompt to run against the work", a copy-paste preference snippet, a concrete three-pile backfill sort, and a seven-item return specification. Per the rubric's code-vs-instruction note, the absence of code is not penalized because the guidance is directly actionable. It is not a 4 because there are no gaps — the prompts are ready to run verbatim and the common cases are covered.

5 / 5

Workflow Clarity

The sequence is clear (diagnose → telemetry → lane placement → backfill → objections → return) with explicit checkpoints and feedback loops: the telemetry gate ("If I cannot answer that, the lane becomes a box that cards sit in"), the honest-abort path ("Where that uncertainty is genuinely absent, say so and do not add the lane"), the "2-4 week experiment with a named signal for tightening, loosening, or abandoning it", and a seven-item "What to return" checklist. Not a 4: validation is explicit, not merely mostly present. Not capped at 3 since nothing here is destructive or batch.

5 / 5

Progressive Disclosure

A single-file skill (~200 lines) with well-organized headers and clearly labeled one-level-deep external reading (four Yuval Yeret posts plus the source article), which fits anchor 4 (good structure, content appropriately placed for a conversation-driven skill, minor gaps). It is not a 5 because everything is inlined with no reference structure — the under-50-line exception does not apply — and the one internal path, [CREDITS.md](../../CREDITS.md), does not resolve within this bundle; it is not a 3 because references are clearly signaled, not buried, and the inlining is defensible for a skill whose whole payload must be live during the coaching conversation.

4 / 5

Total

18

/

20

Passed

Description

100%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.

An exemplary description: comprehensive concrete actions, natural trigger phrasing, explicit what/when, and explicit routing that both distinguishes it from and coordinates with sibling skills. Dense but not padded — every clause carries scoping or triggering information.

DimensionReasoningScore

Specificity

The description enumerates six-plus concrete actions — "Extend a board that ends at Released, Deployed or Done with one adoption/learn lane", "Coaches where to put the lane and at what altitude, its entry and exit criteria, what telemetry has to exist first, how to limit it, how to backfill the work already closed as Done, and how to answer the overhead objection honestly" — comprehensively covering the skill's scope with domain-specific, non-generic language. It is not a 4 because coverage has no minor gaps; each clause names a distinct deliverable. Third person voice throughout ("Extend", "Coaches"), so no voice penalty applies.

5 / 5

Completeness

Both questions are answered explicitly and concretely: the "what" is the detailed action list (lane placement and altitude, entry/exit criteria, telemetry prerequisites, limits, backfill, overhead objection), and the "when" is an explicit "Use when..." clause with three concrete trigger scenarios. It is not a 4 because the "when" is not merely present but spelled out with specific, recognizable situations; it is not below 5 since nothing is implied rather than stated.

5 / 5

Trigger Term Quality

Trigger phrasing is natural user language: "Use when features ship and nobody knows whether anyone uses them, when AI use cases are deployed and unused, or when a spec-driven board has a column for every step of the software and none for the human on the other end", plus "AI pilots with no clear return, or 'where do we start'". Domain keywords (Released, Deployed, Done, adoption, board, lane, limit, telemetry) cover the natural vocabulary and its variations. It is not a 4 because the missing terms are negligible (only the literal word "kanban" is absent, and "board" covers the concept).

5 / 5

Distinctiveness Conflict Risk

The niche is precise — extending a delivery-ending kanban board with one adoption/learn lane — and the description actively reduces conflict risk by routing adjacent intents to sibling skills: "use wip-limit-configuration-coach", "run outcome-framing-coach first", "run ai-activity-to-impact first; it finds the constraint and routes here". It is not a 4 because the overlap boundaries with closely related skills are explicitly drawn, leaving minimal mis-trigger risk.

5 / 5

Total

20

/

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/extending-kanban-from-output-to-outcome/SKILL.md

Reviewed

Table of Contents

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