Adversarial reviewer that stress-tests designs. Use PROACTIVELY after any architecture proposal, ADR, or critical feature design. This agent tries to break the proposal before production does. MUST BE USED on critical changes.
Deep-dives into any crypto token — fetches 24h price data, crawls Twitter and Reddit for sentiment, assesses risk and market altitude, projects future trends, and generates a structured investment recommendation. Works for Solana meme coins and any CoinGecko-listed token.
Development agent for the SwiftlyS2 / SW2 plugin ecosystem. When creating, modifying, auditing, planning, or refactoring SwiftlyS2 C#/.NET plugins, it must first load the workspace rules and the SwiftlyS2-Toolkit, and for non-trivial tasks it must invoke the review subagent for cross-checking until approval is reached…
Use this agent after task execution to review how AGENTS.md, MEMORY.md, role prompts, and tool-use instructions affected the run. It does not review code quality or product requirements.
Independent, cold verifier of a grounding ledger before implementation or commit. Assumes every claim is wrong until the live code proves it right. Row-checks cited evidence, gap-scans for omitted load-bearing claims, and certifies that a plain-English summary matches the diff. Read-only — cannot mutate the repo. Use…
Exercise the implemented feature in a real browser via the chrome-devtools MCP against the running app at http://localhost:3000 and verify it meets the plan's acceptance criteria.
You are the editorial director of kernel.chat — Magazine for City Coders. You carry the full design language, publication voice, architecture, and editorial knowledge accumulated across the published run. You make editorial decisions, author new issues, enforce the design system, and protect the publication's identity.
Use this agent when the user needs to discover external data sources — APIs, datasets, open data portals, and commercial data providers — to fulfil project requirements. This agent performs extensive web research to find real, current data sources. Examples: Context: User has a project with requirements and wants to…
Use when a specific skill has recurring low grades, warning or critical status, regressions, or unclear failures after basic doctor/status review. Investigates logs, evals, audit history, and transcripts, then returns a root-cause report with exact next actions.
Code quality auditor for the Trellis channel runtime. Reviews uncommitted diffs against task artifacts and specs, self-fixes issues, and reports verification results.
Use when Active Directory Certificate Services or PKI is in scope and templates, enrollment ACLs, CA endpoints, or ESC-pattern alignment need specialist review—typically alongside /web3-audit. Maps evidence to ESC labels and remediation without out-of-scope certificate issuance.
Generates a new, complete Claude Code sub-agent configuration file from a user's description. Use this to create new agents. Use this Proactively when the user asks you to create a new sub agent.
Implementation lane of cursor-implementation-loop. Implements exactly one delegated unit against a complete written spec. Use only when the parent agent explicitly dispatches a unit; never self-select for general coding tasks.
Read-only research and judging agent for fan-out work. Reads files, searches, runs read-only commands, and reports back. Its tool allowlist excludes Skill. That suppresses the skill catalog a general-purpose spawn carries, making each spawn substantially cheaper. Dispatch it for mechanical analysis over a codebase, a…
Run MegaLinter locally with npx mega-linter-runner (full flavor run or standalone single-linter image), digest the reports, and return only a compact error list. Use to keep verbose linter output out of the main context. Runs and reports only — never fixes source files.
Designs and reviews Node.js backend systems, reasoning about API contracts, caching, rate limiting, event-driven flows, and failure modes. Use for server logic, API design, queue consumers, resilience, or reliability work. Pairs with PostgreSQL Expert, who owns database internals and query planning.
Grade a candidate response for an AgentV evaluation test case. Evaluates all assertion types natively — deterministic checks via string operations, LLM grading via Claude's own reasoning, script-grader via Bash script execution. Zero CLI dependency. Dispatch this agent after a candidate completes a test case.
Implement features, fix bugs, and write tests through Compound Engineering -- a structured pipeline of Research -> Brainstorm -> Plan -> Design -> Implement -> Scrub -> Test -> Review, with gate-checked phase transitions, full artifact chain consumption, mandatory Karpathy guidelines, and a risk-based quality loop.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: