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design-kpis

Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved.

67

Quality

80%

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tessl review fix ./packages/opencode/src/skill/builtin/.bundle/data-analytics/workflows/design-kpis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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.

The body delivers a clear, well-sequenced KPI design workflow with genuinely concrete selection criteria, metric counts, and target-setting guidance, and it is well-organized as a single-file skill. Its main weakness is token efficiency: the generic source-discovery configuration section and wordy target-setting prose add tokens without adding KPI-specific value. Anti-drift check: conciseness fits level 3 (not 4 — several padded passages, not just minor trim); the other dimensions fit level 4 (not 5 — no instantiated example, no split-out reference material).

Suggestions

Tighten Step 5's target-setting prose: replace the run-on 'Compare aspirational targets with what the team can realistically influence through planned work, available audience, expected adoption, and historical movement' paragraph with a short list of the comparison factors and one sentence on how to present the result.

Trim or externalize the generic 'Source Discovery And Verification' / 'Source Access Guardrail' sections — they describe general analytical practice Claude already knows rather than KPI-specific guidance, and they consume roughly 15 lines of context.

Add one fully instantiated example metric (definition, calculation, source, target with anchor, and guardrail) so the deliverable format in Step 6 is concrete rather than structural, moving actionability toward level 5.

DimensionReasoningScore

Conciseness

The guidance is mostly efficient, but the generic 'Source Discovery And Verification' section and Step 5's run-on paragraph ("Compare aspirational targets with what the team can realistically influence through planned work, available audience, expected adoption, and historical movement...") explain operational common sense Claude already knows and could be tightened. It sits at 'mostly efficient but some unnecessary explanation or could be tightened' rather than level 4's 'only minor instances of over-explanation'.

3 / 5

Actionability

Guidance is concrete and executable for an instruction-only skill: exact counts ("Recommend `1-3` primary KPIs, `1-2` driver metrics... `1-2` guardrails"), six named selection criteria, top-down/bottom-up target methods, a 7-item deliverable structure, and per-context metric shapes. It falls short of level 5 only because no fully instantiated example of a specified metric with definition, calculation, and target is provided.

4 / 5

Workflow Clarity

A clearly sequenced 6-step workflow (clarify → gather → generate candidates → compare/select → set targets → deliver) with explicit checkpoints such as "If a required source is unavailable, stop that path" and "Clarify with the user when a missing input would materially change the analytical frame". This is not a destructive or batch operation so no validation cap applies; minor gaps (no explicit review/feedback loop on the delivered recommendation) keep it at level 4.

4 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent), and the single file is well-sectioned with clear headers and no nested references; the '$'-prefixed mentions are skill invocations, not bundle paths. Some inline material — notably the ~12-line 'Example Metric Shapes' section and the generic 'Skill Configuration' section — could be split out or trimmed, placing it at 'good structure; minor organization gaps' rather than fully appropriate placement.

4 / 5

Total

15

/

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.

A strong description: it states a comprehensive set of concrete capabilities and pairs them with an explicit, naturally phrased 'Use when' trigger clause. The only weakness is modest synonym coverage in the trigger terms. Re-checked against neighboring anchors (4 for specificity and completeness) — the description clearly matches the level-5 anchors instead.

DimensionReasoningScore

Specificity

"Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions" enumerates multiple specific concrete actions that comprehensively cover the skill's outputs, matching the top anchor rather than the 'minor gaps' level 4 example.

5 / 5

Completeness

It explicitly answers both what ("Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans") and when ("Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved") with concrete trigger phrases, matching the top anchor exactly.

5 / 5

Trigger Term Quality

Natural trigger phrases users would say are well covered ("success metrics", "drivers", "guardrails", "targets", "measurement approach"), but a few common variations such as "KPI setting", "north star metric", or "OKR" are missing, placing it at 'good coverage with a few natural terms missing' rather than comprehensive.

4 / 5

Distinctiveness Conflict Risk

The niche is clear — defining and redesigning metric systems rather than analyzing or visualizing data — and the trigger clause is specific to definition/improvement requests, giving minimal conflict risk with adjacent analytics or reporting skills.

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
XiaomiMiMo/MiMo-Code
Reviewed

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