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PythonReactSEOPDF

lossyrob AI Skills

GitHub ↗

Explorez les skills IA publiés de lossyrob et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

13

Étoiles des dépôts des skills indexés

312

Forks du dépôt

65

Moyenne des étoiles par skill indexé

24

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

13 skills

Explorer

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-impact

lossyrob

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

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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.