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Code Review & Quality
Code review, refactoring, debugging, maintainability, and engineering quality
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- Context CompressionWhen agent sessions generate millions of tokens of conversation history, compression becomes mandatory. The naive approach is aggressive compression to minimize tokens per request.Votes: 0GitHub stars: 27
- Code ReviewerElite code review expert specializing in modern AI-powered codeVotes: 0GitHub stars: 27
- Zero DefectUse when you need maximum precision on a critical task — production deployments, security-sensitive code, financial calculations, or any work where mistakes are unacceptable.Votes: 0GitHub stars: 2
- TemperUse when the workflow feels over-engineered, has premature optimizations, unnecessary abstraction layers, or complexity beyond actual requirements.Votes: 0GitHub stars: 2
- StreamlineUse when the workflow feels too complex, has accumulated cruft, or has redundant steps and overlapping tools that need consolidation.Votes: 0GitHub stars: 2
- Omcustom Auto ImproveApply verified improvement suggestions from eval-core analysis to omcustom configurationVotes: 0GitHub stars: 15
- Multi Model VerificationParallel code verification using multiple models with severity classificationVotes: 0GitHub stars: 15
- ListsShow all available commandsVotes: 0GitHub stars: 15
- GoalDisciplined goal-to-execution workflow for any user task. Parses objective, asks only for materially missing requirements via ambiguity-gate, inspects repo via idea, plans via sdd-dev or deep-plan, executes safely under project conventions, verifies completion per R020, and reports changed files with evidence. Use when user invokes /goal <task>.Votes: 0GitHub stars: 15
- Gemini ExecExecute Gemini CLI prompts and return resultsVotes: 0GitHub stars: 15
- Dev ReviewReview code against language-specific best practicesVotes: 0GitHub stars: 15
- Deep VerifyMulti-angle release quality verification using parallel expert review teamsVotes: 0GitHub stars: 15
- Dag OrchestrationYAML-based DAG workflow engine with topological execution and failure strategiesVotes: 0GitHub stars: 15
- Sparql Formal SemanticsCheat-sheet for the formal semantics of the SPARQL fragment used in the ZKP-SPARQL paper — Pérez–Arenas–Gutiérrez algebra, RDF graph model, blank-node canonicalisation choices, fragment-scoping conventions. Use when writing operator specs, scoping which SPARQL constructs the paper supports, drafting semantics sections, or reconciling differences between the W3C SPARQL 1.1 rec and the paper's formalisation.Votes: 0GitHub stars: 12
- Noir Circuit PatternsPatterns and gotchas for writing Noir circuits that implement SPARQL primitives over committed RDF graphs. Use when implementing BGP matchers, joins, filters, projections, or hashing-to-field strategies; when sizing constraint budgets; when laying out public inputs that bind to a commitment scheme; or when interfacing nargo / Barretenberg (bb) tooling. Always confirm syntax against the noir-lang context7 docs (/noir-lang/noir) before writing code.Votes: 0GitHub stars: 12
- Skip TddTemporarily bypass the TDD commit gate. Use for documentation changes, CI/CD config, dependency updates, or hotfixes. Logs the reason for accountability. Bypass auto-clears after the next commit. Triggers on: skip tdd, bypass tests, no-tdd.Votes: 0GitHub stars: 3
- PrCreate a pull request (GitHub) or merge request (GitLab) with conventional description, test summary, and checklist. Auto-detects platform. Triggers on: create pr, create mr, pull request, merge request, push and pr.Votes: 0GitHub stars: 3
- Pipeline Gitlab FeatureFull feature development pipeline for GitLab repositories using Copilot CLI agents and Jira integration. Takes a Jira item through requirements engineering, test planning, architecture, TDD development, testing, and MR review. Triggers on: gitlab pipeline, gitlab feature, copilot pipeline.Votes: 0GitHub stars: 3
- Pipeline Github FeatureFeature development pipeline for GitHub repositories using Claude LLMs. Requirements engineer takes input from specs.md or user, creates a GitHub issue as feature request, then architect plans, tdd-developer implements, qa tests, and reviewer peer-reviews the pull request. Triggers on: github pipeline, github feature, claude pipeline, specs pipeline.Votes: 0GitHub stars: 3
- Gh CliDrive the GitHub CLI (gh) to review a pull request — fetch the diff and context, post inline review comments anchored to specific diff lines, open conceptual conversation threads, and submit a verdict (APPROVE / REQUEST_CHANGES / COMMENT). Use when reviewing or commenting on a GitHub PR. Triggers on: gh, github cli, pull request, pr review, post pr comment, gh api, review github pr.Votes: 0GitHub stars: 3
- Plan Eng ReviewEng manager-mode plan review. Lock in the execution plan — architecture, data flow, diagrams, edge cases, test coverage, performance. Walks through issues interactively with opinionated recommendations.Votes: 0GitHub stars: 13
- Behavioral ModesAI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.Votes: 0GitHub stars: 13
- OrchestratorUser-facing entry point for the wp-rocket issue workflow. Invoke directly to start a delivery run from a GitHub issue number, URL, or raw description. Runs inline in your conversation context; spawns specialist agents (ticket-writer, grooming-agent, challenger, backend-agent, frontend-agent, release-agent, lead-reviewer, qa-engineer) as isolated sub-agents; invokes supporting skills (knowledge-graph, dod, docs, issue-workflow) inline. Routes based on structured JSON outputs from each agent, m...Votes: 0GitHub stars: 767
- PrCreate a pull request with proper branch, description, and labelsVotes: 0GitHub stars: 28