agentsmesh

Use when an AI tool gains support for a feature agentsmesh does not yet expose — or exposes wrongly — and you must raise or correct an existing target's capability for project and/or global scope (rules, additionalRules, commands, agents, skills, mcp, hooks, ignore, permissions). Also use to audit every target for capability gaps, or to act on an audit/feature-request someone else wrote. Start by verifying the claim against the tool's OWN primary docs — such findings are frequently fabricated, stale, or wrong-scoped, so be ready to reject. Covers verification-first research, descriptor wiring, round-trip symmetry, global-only scopeExtras emission, settings-merge and plugin safety, format/path-change blast radius, strict TDD, two-stage review, and matrix/docs sync. Start with `pnpm capabilities:audit`; research only STALE/MISSING cells; the ledger memoizes verified formats so audits stay fast.

Use when an AI tool gains support for a feature agentsmesh does not yet expose — or exposes wrongly — and you must raise or correct an existing target's capability for project and/or global scope (rules, additionalRules, commands, agents, skills, mcp, hooks, ignore, permissions). Also use to audit every target for capability gaps, or to act on an audit/feature-request someone else wrote. Start by verifying the claim against the tool's OWN primary docs — such findings are frequently fabricated, stale, or wrong-scoped, so be ready to reject. Covers verification-first research, descriptor wiring, round-trip symmetry, global-only scopeExtras emission, settings-merge and plugin safety, format/path-change blast radius, strict TDD, two-stage review, and matrix/docs sync. Start with `pnpm capabilities:audit`; research only STALE/MISSING cells; the ledger memoizes verified formats so audits stay fast.

Use when about to edit a file or run a state-changing command, or after any failure, correction, or surprising result.

Use when about to edit a file or run a state-changing command, or after any failure, correction, or surprising result.

Use when about to edit a file or run a state-changing command, or after any failure, correction, or surprising result.

A relentless interview to sharpen a plan or design.

Teach the user a new skill or concept, within this workspace.

Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.

A relentless interview to sharpen a plan or design.

Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.

Teach the user a new skill or concept, within this workspace.

Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.

Use when writing, rewriting, or substantially updating the top-level README.md for AgentsMesh. Produces a concise, trustworthy, copy-paste-correct README — accurate header (banner + badges), a 60-second quickstart, real install/feature/links — without inventing APIs or duplicating LICENSE/CONTRIBUTING/CHANGELOG.

Use when writing, rewriting, or substantially updating the top-level README.md for AgentsMesh. Produces a concise, trustworthy, copy-paste-correct README — accurate header (banner + badges), a 60-second quickstart, real install/feature/links — without inventing APIs or duplicating LICENSE/CONTRIBUTING/CHANGELOG.

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

Compact the current conversation into a handoff document for another agent to pick up.

Compact the current conversation into a handoff document for another agent to pick up.

Security engineer focused on vulnerability detection, threat modeling, and secure coding practices. Use for security-focused code review, threat analysis, or hardening recommendations.

QA engineer specialized in test strategy, test writing, and coverage analysis. Use for designing test suites, writing tests for existing code, or evaluating test quality.

Implement the next task incrementally — build, test, verify, commit

Simplify code for clarity and maintainability — reduce complexity without changing behavior

Break work into small verifiable tasks with acceptance criteria and dependency ordering

Break work into small verifiable tasks with acceptance criteria and dependency ordering

Run the pre-launch checklist via parallel fan-out to specialist personas, then synthesize a go/no-go decision

Start spec-driven development — write a structured specification before writing code

Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.

Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.

Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.

Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.

Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when deciding whether to maintain or sunset existing code.

Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.

Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production, security-sensitive logic, irreversible operations), or any time a confident output would be cheaper to verify now than to debug later.

Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated.

Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.

Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".