manastalukdar

skill-validator

Internal skill that validates a new or modified AI DevStudio skill against project standards. Checks YAML frontmatter, token optimization section, line limit, and naming conventions. Used by the code-reviewer agent during PR review.

accessibility

Accessibility (a11y) compliance checking with WCAG 2.1 validation

agent-evaluate

Define behavioral contracts, run adversarial tests, and detect regressions for AI agents — invariants, edge cases, statistical analysis, and benchmark-production gap detection

ai-governance

Audit an AI/ML system for governance controls — bias risk, explainability, model risk management, data lineage, fairness metrics, and regulatory alignment (EU AI Act, NIST AI RMF)

ai-system-review

Review LLM application code for context assembly quality, retrieval integration, prompt construction, output validation, cost controls, and failure handling

api-test-generate

Auto-generate comprehensive API tests for REST and GraphQL endpoints with request/response validation

architecture-diagram

Generate architecture diagrams in Mermaid, PlantUML, or diagrams.net formats

assumption-map

Map and prioritize the riskiest assumptions behind a feature, product decision, or technical design — surface what would kill it if wrong, then propose the cheapest test for each

briefing

Generate a daily development briefing — recent git activity, open TODOs, pending PRs, failing tests, and session context — so you can start work immediately without manually checking multiple sources.

Testing & QA Listed

browser-testing-with-devtools

Use Chrome DevTools MCP for live DOM inspection, console error capture, network request analysis, and paint profiling — runtime verification beyond what Playwright scripting covers.

cache-strategy

Implement caching strategies for HTTP, service workers, and memoization

canary

Monitor a deployment for errors and regressions after shipping — polls logs, error rates, and key endpoints in a configurable loop until the deployment is confirmed healthy or a problem is detected.

careful

Intercept destructive commands before execution — rm -rf, DROP TABLE, force-push, git reset --hard, and similar irreversible operations. Prompts for confirmation and suggests safer alternatives. Inspired by gstack's careful skill.

Testing & QA Listed

chaos-test

Analyze codebase for resilience gaps — missing retry logic, absent timeouts, circuit-breaker opportunities, single points of failure, and degradation-mode blind spots

DevOps & Infrastructure Listed

ci-sweep

React to CI failures on main or active branches — diagnose the failure type, propose a minimal fix for regressions, re-run flakes, and escalate infrastructure failures. Designed to run with /loop 15m.

cleanproject

Remove debug artifacts and temporary files safely with git checkpoint protection

code-review-checklist

Generate context-aware code review checklists for changes

commit

Analyze changes and create meaningful conventional commits with pre-commit quality checks

Web & Frontend Listed

component-library

Scaffold component library structure with Storybook and documentation

conflict-resolve

Guided conflict resolution with semantic analysis and validation

context-budget

Report estimated context window utilization and flag when approaching the compaction threshold

context-engineering

Audit and curate the 5-layer agent context hierarchy to prevent quality degradation mid-session — rules files, specs, source files, error output, and conversation history.

context-restore

Restore work-in-progress context saved by /context-save — finds the most recent WIP commit on the current branch and unpacks it back to the working tree so you can resume exactly where you left off. Inspired by gstack's context-restore skill.

context-save

Save current work-in-progress context as a git WIP commit — captures all staged and unstaged changes with a timestamped stash message so you can switch contexts safely and restore later. Inspired by gstack's context-save skill.

Data & Documents Listed

continuous-learning

Extract repeated patterns from archived sessions and offer to convert them into reusable skills

cost-track

Report token spend per session and cumulative totals from session logs

cross-modal-review

Run a second-model quality gate on staged changes, a skill draft, or any generated output. A cheaper, independent model reviews the primary output for correctness, safety, and completeness before the user sees the final result.

Data & Documents Listed

db-diagram

Generate database ER diagrams from schema for documentation

ddd-model

Apply Domain-Driven Design — identify bounded contexts, model aggregates and value objects, map context relationships, and generate implementation scaffolding

debug-root-cause

Root cause analysis with dependency tracing and call stack analysis

changelog-auto

Auto-generate changelogs from commit history

project-health

Internal health check skill for AI DevStudio project. Checks skill count consistency across docs, detects stale sessions, and identifies cache files to clean. Not user-facing.

api-docs-generate

Generate OpenAPI/Swagger documentation from code analysis

api-examples

Generate API usage examples and tutorials from code analysis

Testing & QA Listed

api-mock

Generate API mocks and stub servers from OpenAPI specs or code analysis

api-validate

API contract validation and breaking change detection

brainstorm

Interactive design refinement with structured exploration

branch-finish

Complete branch workflow with squash, rebase, and cleanup

bundle-analyze

Bundle size analysis and optimization for Webpack, Vite, and esbuild

caveman

Activate ultra-compressed communication mode that drops ~75% token usage by eliminating articles, filler, pleasantries, and hedging while preserving technical accuracy. Use when user says "caveman mode", "be brief", "less tokens", or invokes /caveman.