Retrieve raw GitHub contribution metrics filtered by time period.

Returns aggregated data including commits, PRs, reviews, and code changes. Useful for understanding contribution volume and patterns.

Analyze GitHub contributions against the Andrej Karpathy Skills framework.

Returns scores (1-5) for five skill dimensions:

• Building from Scratch: First-principles thinking and custom implementations

• Attention to Detail: Tests, docs, descriptive commits, clean diffs

• Deep Understanding: Root cause analysis, performance optimization, substantive reviews

• Technical Clarity: Focused PRs, clear descriptions, code simplification

• Problem Solving: Complex challenges, cross-cutting changes, effective solutions

Also detects "First Principles" indicators (Karpathy's emphasis on understanding things from scratch rather than relying on heavy abstractions).

Identify contribution types (Feature, Refactor, Bug Fix) and assess their impact on codebase health.

For each PR, returns:

• Classification: Feature, Refactor, Bug Fix, Performance, Documentation, Test, Chore

• Impact level: critical, high, medium, low, trivial

• Health delta: -1.0 (degradation) to +1.0 (improvement)

• Complexity score: 0.0 to 1.0

• First Principles detection: whether the contribution demonstrates building from scratch

Generate an executive weekly impact summary for stakeholders.

Consolidates the week's activities into a structured report including:

• Executive paragraph summarizing contributions

• Key achievements list

• Karpathy Skills highlights

• Metrics snapshot

• Business value translations (technical → business language)

• Spider chart data for visualization

Scan contributions for first-principles thinking patterns.

Analyzes PRs looking for:

• Dependency removals (package.json, requirements.txt, go.mod, etc.)

• Custom implementations replacing external libraries

• Utility/internal file additions

• Root cause fixes vs band-aid patches

• First-principles keywords in commit messages

Returns:

• Abstraction Control Level (0.0-1.0)

• Dependency Delta (negative = fewer deps = positive)

• Root Fix Ratio (0.0-1.0)

• Overall Score (1.0-5.0)

• Detailed signals and evidence

Advanced attention-to-detail analysis with bonus scoring.

Checks:

• README updated alongside API changes

• CHANGELOG updated

• Edge case tests (not just happy path)

• Descriptive commit messages

• Migrations included with schema changes

• Environment variables documented

• Type hints updated

Returns bonus points, anti-pattern flags (red/yellow), and checklist.

Generate a client-facing delivery report translating technical contributions into business value.

Designed for freelancers, MEI, and consultants who need to communicate value to non-technical stakeholders.

Returns a formatted Markdown report with:

• Executive summary

• Deliveries table with business impact

• Impact highlights

• Period metrics

Export Karpathy skill evolution data for Spider Chart visualization.

Analyzes the last N weeks and returns scores for each dimension per week, plus trend analysis (improving/declining/stable).

Designed to feed the external Next.js Karpathy Dashboard.