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lossyrob AI Skills

GitHub ↗

Browse published AI skills maintained by lossyrob. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

13

Repository stars across indexed skills

312

Repository forks

65

Average repository stars per indexed skill

24

Repository stars may repeat across skills from the same repository.

13 skills

Browse skills

GitHub

paw-review-critic

lossyrob

Critically assesses generated review comments for usefulness, accuracy, and appropriateness, adding assessment sections.

GitHub

paw-review-understanding

lossyrob

Analyzes PR changes to create ReviewContext.md and DerivedSpec.md artifacts. Handles both initial analysis and resumption after baseline research.

GitHub

paw-review-workflow

lossyrob

Orchestrates the PAW Review workflow, coordinating activity skills to analyze PRs and generate comprehensive review feedback.

GitHub

paw-review-baseline

lossyrob

Analyzes the codebase at the PR's base commit to establish baseline understanding for review comparison.

GitHub

paw-review-impact

lossyrob

Analyzes system-wide impact of PR changes including integration effects, breaking changes, performance, and security implications.

GitHub

paw-review-github

lossyrob

Posts finalized review comments to GitHub as a pending review after critique iteration is complete.

GitHub

prompt-annotation

lossyrob

Annotates agent prompts with structural XML tags for comprehension, gap detection, and skill extraction. Use when analyzing agent prompt structure, comparing agents across projects, or identifying reusable vs w...

GitHub

paw-review-feedback

lossyrob

Transforms gap analysis findings into structured review comments with comprehensive rationale. Handles both initial draft generation and critique response iteration.

GitHub

paw-review-gap

lossyrob

Systematically identifies gaps in correctness, safety, testing, and maintainability, categorizing findings by severity.

GitHub

paw-review-correlation

lossyrob

Synthesizes findings across multiple PRs to identify cross-repository dependencies, interface mismatches, and coordination gaps.

GitHub

multi-model-review

lossyrob

Reviews PRs or code changes using multiple AI models, synthesizes findings, and interactively applies fixes. Uses GPT 5.2, Gemini 3 Pro, and Opus 4.5 for diverse perspectives.

GitHub

paw-work-shaping

lossyrob

Interactive pre-spec ideation utility skill. Agent-led Q&A to progressively clarify vague ideas, research codebase context, and produce structured WorkShaping.md artifact.

GitHub

paw-planning

lossyrob

Implementation planning activity skill for PAW workflow. Creates phased implementation plans with clear success criteria, documentation phase planning, and strategic architectural descriptions.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.