Bhushan Modi
Community@bm629
Bhushan Modi's registry delivers 78 skills spanning SDLC document authoring/review gates, prior-art research surveys, and hands-on engineering stacks from React/TypeScript to SQLAlchemy and cloud deploys.
Agent Skills by Bhushan Modi
Showing 78 vetted skills indexed across 1 GitHub repositories.
github-cli-ops
Perform GitHub operations via the gh CLI with gh api and GraphQL fallbacks.
polyglot-git-hooks
Configure Lefthook Git hooks for polyglot monorepos with staged-file checks.
reviewing-document-discovery
Reviews a produced document plan against a fourteen-condition bar and emits an approve or revise verdict.
authoring-technical-design
Write implementable technical design documents for one feature traced to requirements.
reviewing-developer-guide
Reviews developer guides against a 14-condition adoptability and accuracy bar, emitting an approve or revise verdict.
reviewing-market-competitive-prior-art-survey
Reviews market and competitive prior-art survey artifacts against 40 numbered acceptance conditions.
skill-forge
Researches a topic and generates a portable SKILL.md skill file.
reviewing-integrations-prior-art-survey
Reviews integrations prior-art artifacts against thirty numbered conditions and emits an approve or revise verdict.
authoring-api-reference
Write consumer-facing API reference documentation derived from an upstream api-spec contract.
reviewing-security-prior-art-survey
Reviews security prior-art survey artifacts against numbered acceptance conditions and emits approve or revise verdicts.
reviewing-data-model
Reviews finished data-model documents against a nine-condition integrity and queryability bar, emitting an approve or revise verdict.
react-component-testing
Write React component tests with Testing Library, MSW network mocking, and vitest-axe accessibility assertions.
reviewing-user-flows
Review finished user-flows documents against a 14-condition bar and emit an approve or revise verdict.
visual-prior-art-survey
Surveys documented UI and interaction conventions from design systems, WCAG, ARIA APG, and platform guidelines.
authoring-developer-guide
Write developer-tool adoption and integration guides grounded in feature-specs and API references.
reviewing-feature-spec
Review finished feature specifications against a 10-condition implementability and testability bar.
reviewing-ml-prior-art-survey
Reviews ML prior-art survey artifacts against numbered quality conditions and emits an approve or revise verdict.
reviewing-scale-prior-art-survey
Reviews scale prior-art survey artifacts against numbered conditions and returns a verdict.
reviewing-architecture-doc
Reviews finished architecture documents and linked ADR files against a 10-condition quality bar, emitting an approve or revise verdict.
authoring-prd
Guides authoring and amending product requirements documents to a plannable quality bar.
tsdoc
Write and review TSDoc doc-comments on TypeScript public API surfaces.
authoring-data-model
Guides authoring of data model documents covering entities, relationships, indexes, and migrations across storage paradigms.
ui-illustrations
Source, recolor, and integrate licensed SVG and Lottie illustrations into React web app UIs.
ml-prior-art-survey
Surveys ML model, dataset, and benchmark registries to produce a validated build-vs-buy option register.
Frequently Asked Questions About Bhushan Modi
FAQPage SchemaWhat tasks can I accomplish with bm629's skills?▼
You can author and acceptance-gate the full SDLC document set (PRD through release runbook), run reproducible prior-art surveys across nine research domains, build React/TypeScript frontends with tested routing and generated API clients, stand up multi-dialect SQLAlchemy data layers with Alembic migrations, and drive GitHub, Netlify, Cloudflare Pages, Jenkins, and Atlassian operations.
Who are these skills designed for?▼
Software engineers, technical writers, product managers, QA leads, and security researchers working inside agent runtimes. Document skills target producers and reviewers of engineering artifacts; survey skills target architects doing build-vs-buy diligence; ops skills target developers automating hosting, CI, and issue-tracker actions with caller-injected credentials.
How do the authoring and reviewing skills work together in practice?▼
Each authoring-* skill produces a document from named upstream inputs (never a blank page), and its reviewing-* twin judges the finished artifact against a numbered condition bar, emitting exactly one VERDICT: approve or revise with condition-named findings. Amendments are handled as versioned, delta-scoped reviews rather than full re-reads.
Are these skills free and what licensing applies?▼
The manifest publishes all 78 skills as open registry entries with no stated cost; the external-content-sanitizer skill explicitly declares MIT licensing for its Codex extension. Other skills carry version and forge review metadata but no per-skill license field, so consumers should check the repository for terms.
What prerequisites or dependencies do the skills require?▼
Ops skills require caller-injected credentials (GH_TOKEN, NETLIFY_AUTH_TOKEN, CLOUDFLARE_API_TOKEN, Jenkins user plus API token) and never provision them. Hi-fi authoring and review require a vision-capable runtime. Stack skills assume their ecosystems: Node/Vite for React skills, uv workspaces for Python monorepos, and SQLAlchemy 2.x for the database skills.