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insights

Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.

68

Quality

86%

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

75%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-organized, mostly actionable single-file skill: executable data-gathering commands, a precise correction definition, and illustrative output formats that make the deliverable unambiguous. It falls short of top marks due to duplicated sections (Trigger, Output), implicit metric-computation steps, and no guidance for missing data sources.

Suggestions

Remove the "## Trigger" section (it duplicates the frontmatter description) and fold "## Output" into "## What It Shows" to reclaim tokens.

Add explicit computation guidance or a small script for deriving metrics (category tallies, correction rate over sessions) instead of leaving the math implicit in mock outputs.

Add a checkpoint for missing or empty data sources (e.g. what to report when no learning log or session history exists) to strengthen the workflow's validation.

DimensionReasoningScore

Conciseness

The body is mostly lean (a compact bash data-sourcing block and tight mock outputs), but the "## Trigger" section duplicates the frontmatter description and "## Output" restates "## What It Shows" — minor trimmable redundancy rather than true padding.

4 / 5

Actionability

"Gather data from these locations" supplies executable commands (cat .claude/LEARNED.md, git log --oneline --since=...) plus a concrete correction definition and mock-output format templates, but the computation steps (categorizing learnings, deriving correction rate) are only implied by the examples.

4 / 5

Workflow Clarity

The sequence is explicit ("Gather data from these locations before computing metrics") and Guardrails act as checkpoints; no destructive or batch operations, so no validation cap applies. Gap: no handling for empty or missing data sources.

4 / 5

Progressive Disclosure

No bundle files exist and none are strictly needed; sections are well-organized with headers. At ~100 lines (above the under-50-line simple-skill threshold), the detailed output-format templates could be split into a reference file.

4 / 5

Total

16

/

20

Passed

Description

91%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 third-person capability statement, an explicit "Use when" clause with natural synonyms and colloquial phrases, and a distinct niche. The only weaknesses are mildly generic capability nouns ("analytics", "metrics") and a few broad trigger terms that could collide with other reporting-type skills.

Suggestions

Replace or qualify generic capability nouns ("session analytics", "productivity metrics") with more concrete operations, e.g. "Tally corrections by category and render ASCII heatmaps from learning-log entries".

Narrow broad trigger terms such as "stats" and "progress" toward session-specific phrasings (e.g. "correction rate", "learning streak") to reduce overlap with general reporting skills.

DimensionReasoningScore

Specificity

Lists several concrete third-person actions ("Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history"), though terms like "analytics" and "metrics" are slightly generic compared to a fully concrete action list.

4 / 5

Completeness

Explicitly answers both what ("Show session analytics... Computes stats from project memory and session history") and when ("Use when asking for stats, statistics, progress, how am I doing...") with concrete trigger phrases, matching the top anchor pattern.

5 / 5

Trigger Term Quality

"stats, statistics, progress, how am I doing, coding history, or dashboard" covers synonyms (stats/statistics), a natural colloquial phrase ("how am I doing"), and colloquial user vocabulary; no file extensions are relevant to this domain.

5 / 5

Distinctiveness Conflict Risk

The session-learning analytics niche is distinct, but broad triggers like "stats", "progress", and "dashboard" carry minor overlap risk with other reporting or metrics skills.

4 / 5

Total

18

/

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

rohitg00/pro-workflow

Path

skills/insights/SKILL.md

Reviewed

Table of Contents

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