timeframe-research
Build a timeframe-bounded research dossier by decomposing a topic into year orchestrators and month-level research passes that each write one condensed paragraph plus sources directly into a target file. Use when the user asks for a dossier, timeline, chronology, release history, or month-by-month research bounded by specific years or months. Not for timeless explainers or single-document summaries with no temporal scope.
superclaude
Configure and operate the Claude Code harness for large codebases. Builds CLAUDE.md hierarchies, scoped test/lint commands, file exclusions, codebase maps, hooks, skills, subagent strategies, and LSP/MCP wiring. Use when setting up Claude Code for a new repo, auditing an existing configuration, onboarding a team, or scaling from single-developer to org-wide deployment. Triggers on "set up Claude Code for this repo", "optimize my Claude Code config", "audit my CLAUDE.md", "make this codebase navigable", "configure hooks/skills/plugins".
bughunt
Fully autonomous bug hunting pipeline — discover bugs in a scoped area using parallel subagents, independently triage each finding, fix confirmed issues with subagents, then audit all fixes against repo constraints and target platforms. Runs end-to-end without user interaction.
sandcastle
Orchestrate AI coding agents (Claude Code, Codex, OpenCode) in isolated sandboxes using the @ai-hero/sandcastle SDK. Use when the user needs to (1) run agents AFK in Docker/Podman containers, (2) build multi-agent pipelines with plan-execute-review patterns, (3) run parallel agents on separate worktrees, (4) create iterative agent loops with maxIterations, (5) extract structured output from agent runs, (6) set up sandcastle in a new or existing project, or (7) write prompt files with template args and shell expressions.
anneal
Use when the user wants to systematically fix AI code slop — duplicated logic, over-engineering, silent error swallowing, convention drift, cargo-cult patterns, and other LLM-introduced architectural decay — over a specified duration
use-coding-agents
>
factual-communication
Restate content as a flat list of atomic facts in the style of av/facts fact sheets. Use when the user says "just facts", "facts only", "as facts", "give me the facts", or replies with a bare "facts" / "facts?" to a previous message — then the scope is that message's content.
agent-fullstack-developer
End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.
gitnexus-cli
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: \"Index this repo\", \"Reanalyze the codebase\", \"Generate a wiki\"
gitnexus-exploring
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: \"How does X work?\", \"What calls this function?\", \"Show me the auth flow\"
gitnexus-guide
Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: \"What GitNexus tools are available?\", \"How do I use GitNexus?\"
gitnexus-impact-analysis
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: \"Is it safe to change X?\", \"What depends on this?\", \"What will break?\"
gitnexus-refactoring
Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: \"Rename this function\", \"Extract this into a module\", \"Refactor this class\", \"Move this to a separate file\"
learned-skills-index
Index directory for automatically learned skills from execution feedback
agent-kubernetes-specialist
Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures. Specializes in production-grade deployments, security hardening, and performance optimization with focus on scalability and reliability.
agent-data-engineer
Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
ask
Present a multiple-choice question to the user using AskUserQuestion tool
ask-multi
Present a multi-select question allowing multiple choices
agent-technical-writer
Expert technical writer specializing in clear, accurate documentation and content creation. Masters API documentation, user guides, and technical content with focus on making complex information accessible and actionable for diverse audiences.
agent-security-engineer
Expert infrastructure security engineer specializing in DevSecOps, cloud security, and compliance frameworks. Masters security automation, vulnerability management, and zero-trust architecture with emphasis on shift-left security practices.
agent-react-specialist
Expert React specialist mastering React 18+ with modern patterns and ecosystem. Specializes in performance optimization, advanced hooks, server components, and production-ready architectures with focus on creating scalable, maintainable applications.
agent-performance-engineer
Expert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.
sc-analyze
Comprehensive code analysis, quality assessment, and issue diagnosis. Use when analyzing code quality, security vulnerabilities, performance bottlenecks, architecture reviews, or troubleshooting bugs and build failures.
agent-ml-engineer
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
gitnexus-debugging
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\", \"Trace this bug\"
sc-research
Deep research on any topic combining real-time web search (Rube MCP) with multi-model consensus analysis (PAL MCP). Produces structured reports with sourced findings and confidence assessments.
sc-tdd
Strict Test-Driven Development enforcer with Red-Green-Refactor workflow automation. Auto-detects frameworks, validates semantic test failures, and blocks production code until tests fail properly. Use for feature development, bug fixes with test coverage, or refactoring with safety nets.
sc-test
Execute tests with coverage analysis, gap identification, test generation, and automated quality reporting. Use when running tests, analyzing coverage, generating missing tests, or debugging test failures.
sc-workflow
Generate structured implementation workflows from PRDs and feature requirements. Use when planning implementations, decomposing features, or coordinating multi-domain development.
sc-worktree
Git worktree management for multi-agent parallel development. Use when spawning multiple agents to work on isolated features simultaneously.
sc-explain
Provide clear explanations of code, concepts, and system behavior with educational clarity. Use when understanding code, learning concepts, or knowledge transfer.
sc-evaluate
LLM pipeline evaluation with oracle judge scoring. Runs prompts against gold standard datasets, evaluates output quality via LLM-as-judge, and generates scored reports with improvement recommendations.
sc-estimate
Provide development estimates for tasks, features, or projects with intelligent analysis. Use when planning timelines, assessing complexity, or scoping resources.
sc-e2e
E2E testing workflow supporting Playwright, Cypress, and Selenium. Run, debug, record, trace, generate test scaffolds, and view reports. Use when running browser tests, debugging E2E failures, or generating test scaffolds.
sc-document
Generate focused documentation for components, functions, APIs, and features. Use when creating inline docs, API references, user guides, or technical documentation.
sc-design
Design system architecture, APIs, and component interfaces with comprehensive specifications. Use when planning architecture, designing APIs, creating component interfaces, or modeling databases.
sc-code-review
Interactive multi-model consensus code review using PAL MCP. Reviews commits, staged changes, or branch diffs with user-directed scope and interactive decision points.
sc-build
Build, compile, and package projects with intelligent error handling and optimization. Use when building projects, creating artifacts, debugging build failures, or preparing deployments.
sc-brainstorm
Interactive requirements discovery through Socratic dialogue and systematic exploration. Use when transforming ambiguous ideas into concrete specifications, validating concepts, or coordinating multi-persona analysis.
sc-mcp
Comprehensive MCP orchestration skill integrating PAL MCP (reasoning, consensus, debugging) and Rube MCP (500+ app automations). Central hub for all MCP-powered workflows.
sc-pr-check
Run all local CI checks before creating a PR with interactive failure remediation. Use when validating code quality before pull requests, running pre-flight checks, or fixing CI failures locally.
sc-pr-fix
Create PR and iteratively fix CI failures with interactive confirmation. Automates branch creation, commit, push, PR creation, and CI monitoring until all checks pass.
sc-implement
Feature implementation with intelligent persona activation, task orchestration, and MCP integration. Use when implementing features, APIs, components, services, or coordinating multi-agent development. Triggers on requests for code implementation, feature development, or complex task orchestration.
sc-improve
Apply systematic improvements to code quality, performance, maintainability, and cleanup. Use when refactoring code, optimizing performance, removing dead code, or improving project structure.
sc-log-fix
Analyze application logs, identify errors, perform root cause analysis, and interactively fix issues with a learned knowledge base. Use when debugging from logs, triaging errors, or fixing recurring issues.
sc-push
Multi-remote git push with selective content filtering. Push to multiple remotes with per-remote path exclusions, branch mapping, and force-push controls.
sc-readme
Auto-update project documentation by analyzing git changes with cross-reference validation and staleness reporting. Supports single-file README updates or multi-document review. Use when synchronizing documentation with code changes.
sc-git
Git operations with intelligent commit messages and workflow optimization. Use when committing changes, managing branches, or optimizing git workflows.
sc-principles
Enforce KISS, Purity, SOLID, and Let It Crash principles through mandatory validation gates. Detects complexity violations, impure functions, design anti-patterns, and error handling issues.
dlt-dagster
>
Page 985 of 1735 · 86739 results
