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frizynn AI Skills

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

Author statistics

Indexed skills

7

Repository stars across indexed skills

98

Repository forks

7

Average repository stars per indexed skill

14

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

dag-planner

frizynn

Build and validate task DAGs for Ralph parallel execution. Use when planning execution order, detecting cycles, or explaining why tasks are blocked. Triggers on: plan dag, check dependencies, why is task blocke...

GitHub

merge-integrator

frizynn

Merge task branches and resolve conflicts for Ralph parallel execution. Use when merging completed task branches or resolving git conflicts. Triggers on: merge branches, resolve conflict, integration merge.

GitHub

task-metadata

frizynn

Generate and validate task metadata for Ralph parallel execution. Use when creating tasks.yaml v1 files, validating task dependencies, or checking mutex usage. Triggers on: create task metadata, validate tasks...

GitHub

parallel-safe-implementation

frizynn

Guidelines for implementing tasks safely in parallel execution. Use when working on a task in Ralph parallel mode to avoid conflicts. Triggers on: implement task safely, parallel mode, avoid conflicts.

GitHub

ralph

frizynn

Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Ralph may run via Amp, Cursor, Codex, or similar tools, so...

GitHub

semantic-reviewer

frizynn

Review integrated code for semantic and design issues. Use after merging task branches to detect inconsistencies. Triggers on: review integration, semantic review, check design consistency.

GitHub

prd

frizynn

Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. The PRD should be detailed enough for execution by AI agents...

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.