
Claude Skills by natureco-official
github.com/natureco-officialCompress prompts by removing redundancy, using abbreviations, and minimizing whitespace
Craft effective prompts with system instructions, examples, and output formatting
Implement push notifications for web, iOS, and Android with segmentation
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.
Implement Retrieval-Augmented Generation with document chunking, embedding, and retrieval
Implement rate limiting with token bucket, sliding window, and distributed counters
Implement real-time features with WebSockets, SSE, and WebRTC
Refactor code incrementally with strangle pattern, feature flags, and safety nets
Write and debug regular expressions for pattern matching, extraction, and validation
Best practices for Remotion - Video creation in React
Generate reports with data aggregation, narrative writing, and PDF/HTML output
Compile research from multiple sources with annotations and synthesis
Build responsive UIs with mobile-first CSS, breakpoints, and adaptive layouts
Implement REST API patterns including pagination, filtering, HATEOAS, and idempotency
Run retrospectives with start-stop-continue, sailboat, and 4L frameworks
Assess project risks with probability-impact matrices, mitigation plans, and monitoring
Create product roadmaps with themes, epics, timelines, and dependency mapping
Implement full-text search with Elasticsearch, Meilisearch, or PostgreSQL FTS
Manage secrets with vaults, encryption, rotation policies, and access audit
Audit code for OWASP Top 10 vulnerabilities, dependency risks, and secret leaks
Store only high-signal memories by filtering trivial interactions and deduplicating facts
Implement semantic search with dense/sparse embeddings and hybrid ranking
Apply semantic versioning with breaking change detection and automated release notes
Analyze sentiment with polarity scoring, aspect-based analysis, and emotion detection
Optimize for search engines with meta tags, structured data, sitemaps, and SSR
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".
Configures and uses snipgrapher to generate polished code snippet images, including syntax-highlighted PNGs, SVGs, and WebP exports with custom themes, profiles, and styling options. Use when the user wants to create code screenshots, turn code into shareable images, generate pretty code snippets for docs or social posts, produce syntax-highlighted images from source files, or explicitly mentions snipgrapher. Supports single-file renders, batch jobs, watch mode, and reusable named profiles vi...
Organize code and text snippets with tagging, search, and category groups
Plan sprints with backlog refinement, capacity calculation, and commitment-based scoping
Optimize SQL queries with indexes, explain plans, and query restructuring
Communicate with stakeholders through status reports, demos, and escalation paths
Manage application state with stores, reducers, selectors, and persistence
Apply statistical methods including hypothesis testing, regression, and Bayesian inference
Implement streaming responses with SSE, chunked transfer, and progressive rendering
Generate structured outputs with JSON schema, type validation, and error correction
Summarize text with extractive, abstractive, and query-focused techniques
Metin özetleme
Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT, cookies, getSession, getUser, getClaims, RLS); Supabase CLI or MCP server; schema changes, migrations, security audits, Postgres extensions (pg_graphql, pg_cron, pg_vector).
Diagnose system issues with logs, metrics, traces, and performance profiling
Package an existing talking-head / interview / podcast video by layering timed, designed GRAPHIC OVERLAY cards onto the playing video — titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript. The source video plays in full; the agent designs and writes each card's HTML in conversation, then renders to MP4 via hyperframes. Use when the user asks for graphic overlays, on-screen graphics / lower-thirds / data callouts / kinetic titles on a video, ...
Decompose large tasks into small, estimable subtasks with acceptance criteria
Prioritize tasks using Eisenhower matrix, MoSCoW, and impact-effort frameworks
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
Build and maintain a personal library of reusable templates by category
Generate unit, integration, and e2e tests from code with coverage analysis
Define testing strategy covering unit, integration, e2e, and property-based tests
Use text expansion shortcuts for frequently typed responses and templates
Schedule focused work blocks with deep work and context-switching minimization
Turn the current conversation into a PRD and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
Budget tokens per conversation turn with allocation for system, tools, and user content