mirzadham
Community@mirzadham
mirzadham maintains a 142-skill registry spanning multi-language coding patterns, test-driven verification loops, agent orchestration, and content/fundraising production systems.
Agent Skills by mirzadham
Showing 142 vetted skills indexed across 1 GitHub repositories.
brand-voice
Builds reusable writing style profiles from real source material for consistent content.
brand-discovery
Conducts structured multi-session brand identity interviews producing a synthesized master brandbook.
agent-introspection-debugging
Diagnoses and recovers from AI agent failures through a four-phase introspection workflow.
bun-runtime
Guides adoption of Bun as JavaScript runtime, package manager, bundler, and test runner.
unified-memory
Share durable context and handoffs between AI agent harnesses through a local memory vault.
x-api
Post tweets, threads, and read timelines via the X API.
everything-claude-code
Applies repository conventions for commits, testing, and workflows in JavaScript projects.
coding-standards
Reviews code against cross-project conventions for naming, immutability, and readability.
mcp-server-patterns
Implements MCP servers with tools, resources, prompts, and stdio or HTTP transports.
eval-harness
Defines and runs eval-driven development checks with pass/fail criteria and pass@k metrics.
mle-workflow
Guides production machine learning workflows covering data contracts, training, evaluation, deployment, and monitoring.
nextjs-turbopack
Guides Next.js 16 development with Turbopack bundling, caching, and bundle analysis decisions.
investor-outreach
Draft personalized cold emails, follow-ups, and updates for investor fundraising outreach.
market-research
Conducts market research, competitive analysis, and investor diligence with source-attributed findings.
deep-research
Generates cited multi-source research reports using firecrawl and exa web search tools.
exa-search
Searches web content, code examples, companies, and people via the Exa MCP server.
article-writing
Write long-form articles, guides, and newsletters matching a supplied brand voice.
dmux-workflows
Orchestrates parallel AI agent sessions across tmux panes using dmux.
benchmark-methodology
Scores tiered competitor sets across nine weighted dimensions with evidence-anchored rubrics.
backend-patterns
Implements backend architecture patterns for API design, database optimization, and server-side applications.
api-design
Designs REST API resources with conventions for naming, status codes, pagination, and error responses.
documentation-lookup
Fetches current library and framework documentation via the Context7 MCP server.
video-editing
Edits real video footage through a pipeline of FFmpeg, Remotion, ElevenLabs, and fal.ai.
product-capability
Converts PRD intent into implementation-ready capability plans with constraints and contracts.
Frequently Asked Questions About mirzadham
FAQPage SchemaWhat tasks can I accomplish using mirzadham's skill registry?▼
You can apply idiomatic patterns for React, Next.js, Django, Laravel, Spring Boot, Quarkus, FastAPI, and 15+ languages; run TDD and verification loops with coverage gates; orchestrate multi-agent sessions; and produce brand voice profiles, investor materials, market research, and multi-platform content.
Who is the target audience for these skills?▼
Full-stack and backend engineers working in TypeScript, Python, Java, Kotlin, Go, Rust, PHP, or C#; QA engineers running Playwright E2E and framework-specific test suites; plus founders and marketers needing fundraising documents, competitive analysis, and social content systems.
How do the verification and quality-gate skills work in practice?▼
Framework-specific verification skills (springboot-verification, django-verification, laravel-verification, quarkus-verification) run builds, static analysis, coverage tests, and security scans before release. The delivery-gate stop hook mechanically blocks session completion until quality checks pass.
What are the prerequisites for using these skills?▼
Skills are designed for Claude Code and compatible harnesses (Codex, Cursor, OpenCode, Kimi). Several depend on MCP servers such as Context7, Exa, firecrawl, fal.ai, and CodeScene; testing skills require their native stacks like pytest, JUnit 5, PHPUnit, or Playwright.
Do the skills support multi-agent and persistent-context setups?▼
Yes. unified-memory shares durable context between agents via the ECC Memory Vault, dmux-workflows coordinates parallel agent panes, ck provides per-project persistent memory, and continuous-learning-v2 evolves session observations into reusable instincts with confidence scoring.