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pcortes AI Skills

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

Author statistics

Indexed skills

34

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

34 skills

Browse skills

GitHub

backlog-moderator

pcortes

Business moderator for backlog prioritization debates. Synthesizes Champion and Critic views into final rankings. Optimizes for team productivity and sustainable velocity.

GitHub

issue-creator

pcortes

Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.

GitHub

qa-orchestrator

pcortes

Coordinates adaptive QA testing across behavioral, contract, and regression dimensions. Routes to specialized sub-agents based on context and depth.

GitHub

complexity-gate

pcortes

Estimate issue complexity before implementation to prevent timeouts. Uses cheap estimation to save expensive implementation tokens.

GitHub

open-source-librarian

pcortes

Research external libraries with evidence-backed responses and GitHub permalinks. Use when investigating library APIs, implementation patterns, or historical context for open source dependencies.

GitHub

coder

pcortes

Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.

GitHub

bug-researcher

pcortes

Reproduce bugs and gather evidence for root cause analysis. Use when investigating a bug report to confirm reproduction and collect detailed information about the failure.

GitHub

root-cause-analyzer

pcortes

Analyze reproduction evidence to identify the root cause of bugs. Use after reproduction to trace execution and find the exact location and reason for the failure.

GitHub

qa-regression-scanner

pcortes

Analyzes code diffs to identify affected endpoints and prioritize regression testing. Focuses QA effort on changed areas.

GitHub

feature-spec-author

pcortes

Draft detailed engineering specs from an approved PRD. Use when generating or updating the engineering specification for a feature, before implementation begins.

GitHub

issue-creator

pcortes

Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.

GitHub

fix-planner

pcortes

Design fix plans based on root cause analysis. Use after root cause is identified to plan specific code changes and test cases needed to fix the bug.

GitHub

feature-recovery

pcortes

Analyze implementation failures and generate recovery plans. Use when an issue fails and needs diagnosis for retry or escalation.

GitHub

coder

pcortes

Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.

GitHub

feature-spec-moderator

pcortes

Apply critic feedback to improve an engineering spec. Use when revising a spec based on review comments to address issues and improve quality scores.

GitHub

feature-verifier

pcortes

Analyze test failures and suggest fixes for Feature Swarm verification. Use when tests fail during the verification phase to diagnose root cause and determine if automatic recovery is possible.

GitHub

feature-spec-author

pcortes

Draft detailed engineering specs from an approved PRD. Use when generating or updating the engineering specification for a feature, before implementation begins.

GitHub

root-cause-analyzer

pcortes

Analyze reproduction evidence to identify the root cause of bugs. Use after reproduction to trace execution and find the exact location and reason for the failure.

GitHub

backlog-critic

pcortes

Engineering critic for backlog prioritization debates. Challenges proposed rankings with feasibility concerns, hidden complexity, and realistic effort estimates.

GitHub

code-quality-analyst

pcortes

Analyzes code changes for quality issues, code smells, SOLID violations, LLM-generated code problems, and refactoring opportunities. Reports findings with severity, evidence, and suggested fixes.

GitHub

fix-planner

pcortes

Design fix plans based on root cause analysis. Use after root cause is identified to plan specific code changes and test cases needed to fix the bug.

GitHub

issue-splitter

pcortes

Split complex issues into smaller, implementable sub-issues. Called automatically when ComplexityGate determines an issue needs splitting.

GitHub

feature-spec-critic

pcortes

Review and score engineering specs against a quality rubric. Use when evaluating a spec draft before implementation to ensure it meets quality standards and identifies potential issues.

GitHub

refactor-critic

pcortes

Reviews code quality analyst findings. Validates issues are real, severity is appropriate, and suggested refactorings are practical.

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.