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descaling-experiment-coach

Find which scaling-framework concession has hardened into a constraint in your organization, then design one descaling experiment against it. Diagnoses across five named concessions, then produces a hypothesis, the smallest move, a leading indicator, the resistance to expect, and a retrospective question. Use when a scaling framework was adopted with compromises that were meant to be temporary and never revisited. Scoped to a scaling framework's own compromises — for the broader project-to-product operating-model question use portfolio-to-product-shift-coach, and for one initiative's readiness use sniff-test. 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

91%

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SKILL.md
Quality
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Quality

Content

86%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 instruction-only coaching skill: concrete diagnostics, explicit phase sequencing, and disciplined conversational pacing with no padding of concepts Claude already knows. The only notable gaps are minor redundancy in the Source section and absent guidance for edge cases in the diagnostic workflow.

Suggestions

Collapse the three mentions of the Breaking the SAFe article (intro link, Source fetch note, Adapted-from note) into a single Source section with the link and both caveats stated once.

Add one line to Phase 1 for edge cases: what to do when multiple concessions apply at once or the user cannot identify any friction (e.g., pick the one within their influence level, or ask which friction they raised unprompted).

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence (no framework tutorials, no padded explanations), but the source article link and its rationale are repeated three times (intro, the 'Source' fetch note, and the 'Adapted from' note) with overlapping framing that could be collapsed into one. Not a 3 because the core coaching instructions themselves contain no unnecessary explanation.

4 / 5

Actionability

For an instruction-only skill the guidance is fully concrete: five named concessions with descriptions, per-pattern experiment options ('Can we treat PI Objectives as outcomes-focused goals...'), and five required output elements (hypothesis, smallest move within 1-2 weeks, leading indicator, likely resistance, retrospective question). Not a 4 because every common case has specific, ready-to-use direction rather than hints.

5 / 5

Workflow Clarity

The sequence is clear — gather context conversationally, Phase 1 diagnose, then Phase 2 design — with an explicit gate ('Once the main friction area is clear') and a stop-condition ('do not produce the final output until you have enough to produce it honestly'). Not a 5 because there are no recovery paths for edge cases, e.g., when multiple concessions fit at once or the user cannot identify any friction; not a 3 because the phase-to-phase checkpoints that exist are explicit, and no destructive/batch validation is required.

4 / 5

Progressive Disclosure

The skill is self-contained with no bundle files and nothing that belongs in a separate file; sections (Context, Instructions, Phases, Tone, Source) are well-organized and the one external reference is clearly signaled as optional ('Never required: this skill runs fully offline'). Matches the well-organized-sections anchor for a compact, reference-free skill.

5 / 5

Total

18

/

20

Passed

Description

92%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 excellent description: concrete enumerated capabilities, an explicit 'Use when' trigger, third-person voice, and unusually good routing that scopes it against three sibling skills. The single gap is keyword coverage — it never names SAFe, the most likely term a user would actually say.

Suggestions

Add 'SAFe' (and possibly 'agile at scale') to the trigger phrasing, e.g., 'Use when SAFe or another scaling framework was adopted with compromises that were meant to be temporary and never revisited' — it is the word affected users most naturally say.

Consider naming the pattern vocabulary (e.g., 'proxy product ownership', 'PI planning as a contract') in the description so users describing those symptoms verbatim also match.

DimensionReasoningScore

Specificity

'Find which scaling-framework concession has hardened into a constraint... then design one descaling experiment against it' plus 'produces a hypothesis, the smallest move, a leading indicator, the resistance to expect, and a retrospective question' lists multiple concrete actions covering the skill comprehensively. Not a 4 because every action the skill performs is enumerated, with no coverage gaps.

5 / 5

Completeness

Explicit what (diagnose across five named concessions, then produce the five-element experiment design) and explicit when ('Use when a scaling framework was adopted with compromises that were meant to be temporary and never revisited'). Not a 4 because both halves are concrete and stated verbatim, matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

'Scaling framework', 'descaling experiment', 'compromises that were meant to be temporary and never revisited', and 'where do we start' are natural phrases, but the description never says 'SAFe' or 'agile at scale' — the words affected users most often type. Good keyword coverage with a few natural terms missing, which matches the 4 anchor rather than the comprehensive-synonyms anchor at 5.

4 / 5

Distinctiveness Conflict Risk

The description explicitly scopes against sibling skills ('for the broader project-to-product operating-model question use portfolio-to-product-shift-coach, and for one initiative's readiness use sniff-test') and routes a broad entry question to 'ai-activity-to-impact first'. A clear niche with distinct triggers and explicit disambiguation, so minimal conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

yyeret/ai-impact

Path

skills/descaling-experiment-coach/SKILL.md

Reviewed

Table of Contents

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