com um clique
hiddink
hiddink contém 44 skills coletadas de baekenough, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
Monitor Claude Code releases and auto-generate GitHub issues for each new version
Execute OpenAI Codex CLI prompts and return results
YAML-based DAG workflow engine with topological execution and failure strategies
Routes data engineering tasks to the correct DE expert agent. Use when user requests data pipeline design, DAG authoring, SQL modeling, stream processing, or warehouse optimization.
Research-validated planning — research → plan → verify cycle for high-confidence implementation plans
Multi-angle release quality verification using parallel expert review teams
Routes development tasks to the correct language or framework expert agent. Use when user requests code review, implementation, refactoring, or debugging.
Review code against language-specific best practices
Parameterized evaluator-optimizer loop for quality-critical output with configurable rubrics
Execute Gemini CLI prompts and return results
Structured SE task evaluation using 15 benchmark definitions from claude-code-harness research
Synthesize code harnesses for agent action validation — AutoHarness-inspired verifier/filter/policy generation
Show help information for commands and system
Automatically detect user intent and route to appropriate agent
Show all available commands
Advisory model escalation based on task outcome tracking
Parallel code verification using multiple models with severity classification
Apply verified improvement suggestions from eval-core analysis to omcodex configuration
Submit feedback about oh-my-customcodex (supports anonymous submission)
Read-only report of improvement suggestions from eval-core analysis engine
Generate structured release notes from git history and closed issues within the GPT Codex + OMX session
Extract canonical spec from existing agent or skill files
Cross-session agent session messaging via claude-peers-mcp broker
Safety constraints and quality gates for pipeline and workflow execution
Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline
Analyze release workflow findings and recommend follow-up actions — execute immediately or register as issues
Analyze GitHub issues against current codebase and perform automated triage with priority assessment
Coordinates QA workflow across planning, writing, and execution agents. Use when user requests testing, quality assurance, or test documentation.
Generate release-unit development plans from professor-triage completed (verify-done) issues, grouping by priority and size
10-team parallel deep analysis with cross-verification for any topic, repository, or technology. Use when user invokes /research or asks for comprehensive research.
Aggregate parallel agent results into concise output
Structured multi-agent debate that preserves dissent with a mandatory devil's advocate and two-round cap
Full R017 verification (5+3 rounds) before commit
Analyze external URL to evaluate fit with oh-my-customcodex project and auto-create GitHub issue with verdict
Routes agent management tasks to the correct manager agent. Use when user requests agent creation, updates, audits, git operations, or verification.
Analyze task trajectories to propose reusable SKILL.md candidates from successful patterns
Search and install skills from skills.sh marketplace when internal skills are insufficient