harvest

Solid

Collecting GitHub PR data and generating work reports. Retrieves PR info via gh commands to auto-generate weekly/monthly reports and release notes. Use when work reporting or PR analysis is needed.

AI & Automation 72 stars 14 forks Updated today MIT

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Quality Score: 85/100

Stars 20%
62
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- CAPABILITIES_SUMMARY: - pr_collection: Collect PR data with repository, period, author, label, state filters using per_page=100 and --paginate optimization - summary_reports: Generate weekly/monthly PR activity summaries with DORA-aligned metrics - individual_reports: Create individual contributor work reports with effort ranges (never rankings) - release_notes: Generate changelog-style release notes between tags or periods via conventional commit mapping - client_reports: Produce client-facing progress reports with effort estimates and quality context - quality_trends: Merge Judge feedback into PR activity trend reports with DORA+SPACE dimensions - retrospective_voice: Add narrative commentary to sprint or release reports - pr_size_analysis: Classify PRs by size thresholds (200/400/1000 LOC), flag review efficiency risks, and recommend stacked PRs when >30% exceed 400 LOC - dora_metrics: Collect 5 DORA key metrics per DORA 2025 (Accelerate State of DevOps Report 2025-10) — throughput (Deployment Frequency, Lead Time for Changes, Failed Deployment Recovery Time) and instability (Change Failure Rate, Rework Rate) — plus Reliability as quasi-metric, from PR/release data. Support 7-archetype team profiling and percentile-band reporting (Top 15% / Top 15-30% / Mid / Bottom), replacing deprecated 4-tier Elite/High/Medium/Low clusters - review_cycle_analysis: Track first-response time, review cycle time (from ready-for-review, not PR creation) with 4-phase breakdown (Coding→Pi...

Details

Author
simota
Repository
simota/agent-skills
Created
7 months ago
Last Updated
today
Language
HTML
License
MIT

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