Tanveer
Community@tanveerriaz · Singapore
👋 Hi, I'm Tanveer - Curious mind. Builder mode! 🇸🇬 Building AI-powered systems for banking, fintech & automation!
Agent Skills by Tanveer
Showing 49 vetted skills indexed across 1 GitHub repositories.
ui-ux-pro-max
Searches a local UI/UX design database to generate design systems and stack-specific guidelines.
docs-organization
Organizes project documentation into a categorized /docs tree with a clean repository root.
scroll-world
Generates scroll-scrubbed landing pages with AI-rendered camera flights through connected branded scenes.
lean-project-structure
Organizes codebases into layered file structures with single-responsibility modules and size limits.
repo-readiness-review
Reviews repository safety, structure, docs, dependencies, and runnability before publishing or handoff.
think-before-coding
Evaluates three distinct solution approaches with trade-offs before implementing non-trivial code changes.
full-output-enforcement
Enforces complete code generation by banning placeholder patterns and managing token-limit splits.
design-taste-frontend-v1
Generates React and Next.js frontend interfaces following v1 design, motion, and layout rules.
creating-video-ads
Create verified short-form video ads from product URLs, briefs, or existing advertisements.
change-log-release-notes
Maintains dated append-only change logs and generates release notes from them.
llm-prompt-design
Centralizes LLM prompts into composable role, structure, and anti-slop blocks for maintainable app features.
prd-to-build-plan
Converts PRDs and feature requests into phased build plans with acceptance criteria.
public-repo-safety-scan
Scans staged changes and working trees for secrets, credentials, and private data before public release.
imagegen-frontend-mobile
Generates premium mobile app screen and flow images for iOS, Android, and cross-platform concepts.
agent-memory-file
Create and maintain AI-agent memory files like CLAUDE.md and AGENTS.md.
hackathon-pitch-coach
Plans hackathon scope, golden demo paths, and judge-ready pitches from briefs and rubrics.
stitch-design-taste
Generates semantic DESIGN.md design system files for Google Stitch screen generation.
industrial-brutalist-ui
Design industrial-brutalist web interfaces using Swiss grid systems and tactical telemetry aesthetics.
saas-mvp-planner
Defines the minimal feature set and core user journey for a SaaS MVP.
local-first-ai-automation
Builds local LLM and browser automations with allowlisted triggers and safety guardrails.
supabase-data-design
Designs Postgres and Supabase schemas with row-level security, naming conventions, and tables-versus-JSON decisions.
cinematic-minimal-web
Builds restrained editorial websites with deliberate typography, art-directed imagery, and subtle motion.
api-service-pattern
Structures backend API endpoints with thin handlers, service layers, and repository data access.
llm-eval-golden-set
Builds a golden set of test cases and an eval runner to detect LLM output regressions.
Frequently Asked Questions About Tanveer
FAQPage SchemaWhat tasks can I accomplish with Tanveer's skill collection?▼
You can design premium web and mobile interfaces, scaffold lean project structures, review AI-generated code, scan repos for leaked secrets, design Supabase schemas with row-level security, build LLM prompt systems with golden-set evals, plan SaaS MVPs, and generate video ads, brand kits, and release notes.
Who are these skills designed for?▼
Frontend engineers, indie hackers, hackathon teams, and enterprise delivery leads building AI-powered products. The bio targets banking and fintech builders, while skills like enterprise-delivery-tracker and repo-readiness-review suit regulated, multi-team environments needing governance and safe releases.
How do the design skills work in practice?▼
Skills like ui-ux-pro-max provide a searchable local database of 84 styles, 192 palettes, and 74 font pairings across 22 stacks including React, Next.js, SwiftUI, and Flutter. Image-generation skills produce section-by-section design references that developers or coding models recreate as production interfaces.
What prerequisites or dependencies do these skills require?▼
Most skills are prompt-driven and need no external services. Exceptions include scrapecreators-api, which requires a SCRAPECREATORS_API_KEY environment variable, local-first-ai-automation, which expects a local model runtime such as Ollama, and pixel-recap, which uses fal.ai for reference-to-video generation.
How do these skills improve code safety and release quality?▼
public-repo-safety-scan blocks secrets and private data before pushing, git-release-hygiene enforces conventional commits and protected-branch gates, ai-code-review returns severity-tagged findings, and bug-root-cause-analysis runs a reproduce-isolate-diagnose-fix-validate loop so fixes address real causes.