nimadorostkar/claude-skills-collection
59 skills
$npx skills add nimadorostkar/claude-skills-collectionSkillInstalls
agent-designUse when building an LLM agent that uses tools over multiple steps.agent-instructionsUse when writing project instructions for a coding agent (CLAUDE.md, AGENTS.md, or equivalent).agent-memoryUse when an agent needs state that survives a session or a context compaction.api-designUse when designing or reviewing an HTTP API. Covers resource modeling, status codes, pagination, idempotency, versioning, error formats, and the contract…architecture-decisionsUse when a significant technical decision needs to be recorded.background-jobsUse when designing asynchronous job processing. Covers queue selection, idempotency, retry and backoff policy, scheduling, poison messages, and observability…brand-guidelinesUse when applying or documenting a brand identity. Covers extracting a system from existing assets, documenting colour, type, and voice, and applying a brand…bug-fix-protocolUse when fixing a reported bug end to end. Enforces a disciplined sequence — reproduce, write a failing test, fix minimally, verify, prevent recurrence — and…cachingUse when adding or debugging a cache. Covers cache placement, invalidation strategies, stampede protection, TTL selection, and the consistency you are trading…cli-developmentUse when building command-line tools. Covers argument design, exit codes, streams and piping, progress output, configuration precedence, and behavior that…code-reviewUse when reviewing a pull request, diff, or branch. Produces severity-ranked findings covering correctness, security, performance, and maintainability, with…competitive-analysisUse when analyzing competitors. Covers gathering evidence rather than opinion, positioning and pricing analysis, identifying real differentiation, and…context-engineeringUse when managing what an LLM sees. Covers context-window budgeting, retrieval and compaction, memory across turns, tool-result pruning, and the failure modes…data-modelingUse when designing a schema. Covers normalization and when to break it, choosing keys, modeling time and history, soft deletes, multi-tenancy, and schema…data-qualityUse when validating a dataset or building quality checks into a pipeline.database-performanceUse when a database is the bottleneck. Covers finding the expensive queries, index strategy, lock contention, connection saturation, and the schema decisions…debuggingUse when a bug's cause is unknown. Applies a hypothesis-driven method — reproduce, isolate, instrument, prove — instead of speculative edits, and covers…design-patternsUse when choosing how to structure code for a recurring problem.djangoUse when building Django applications. Covers ORM query performance, model design, migrations, Django REST Framework, security defaults, and testing.domain-modelingUse when the code's vocabulary does not match the business's. Establishes a ubiquitous language, models domain concepts as explicit types, and identifies…event-driven-architectureUse when designing systems around events and message queues. Covers event schema design, delivery guarantees, idempotent consumers, ordering, dead-letter…fastapiUse when building APIs with FastAPI. Covers dependency injection, Pydantic v2 validation, async database access, authentication, background tasks, and testing.fine-tuningUse when considering fine-tuning a model. Covers when fine-tuning beats prompting or RAG, dataset construction, LoRA and full fine-tuning, evaluation, and the…generative-artUse when creating algorithmic or generative visual art. Covers composition through code, controlled randomness, colour systems, and building work that is…git-workflowUse for branching, committing, history repair, and release hygiene.graphqlUse when designing or operating a GraphQL API. Covers schema design, resolver performance and DataLoader batching, query cost limiting, error handling, and…hooksUse when automating agent behavior with lifecycle hooks. Covers hook events, deterministic enforcement of rules the model should not be trusted to remember,…lead-researchUse when researching prospects or accounts before outreach. Covers qualification, finding the trigger event, identifying the right contact, and producing a…legacy-modernizationUse when incrementally modernizing a legacy system without a rewrite.llm-cost-optimizationUse when an LLM feature costs too much. Covers prompt caching, context reduction, model routing, batching, output limits, and finding where the tokens actually…llm-evaluationUse when measuring the quality of an LLM feature. Covers building an evaluation set, choosing metrics, LLM-as-judge and its pitfalls, regression testing…llm-integrationUse when integrating an LLM API into an application. Covers streaming, retries and rate limits, timeouts, caching, fallback across providers, and the…mcp-serverUse when building a Model Context Protocol server. Covers tool, resource, and prompt design, transport choice, authentication, error handling, and testing an…microservicesUse when decomposing a system into services, or deciding whether to.ml-pipelineUse when building or operating a machine learning pipeline. Covers feature engineering, training reproducibility, train/serve skew, deployment, monitoring for…model-selectionUse when choosing which LLM to use for a task. Covers matching capability to task, cost and latency trade-offs, routing between models, benchmark skepticism,…nestjsUse when building NestJS services. Covers module structure, providers and scopes, validation pipes, guards and interceptors, TypeORM/Prisma integration, and…pandasUse when analyzing or transforming tabular data in Python. Covers vectorized operations, memory-efficient dtypes, correct joins, groupby patterns, and avoiding…plugin-developmentUse when packaging skills, commands, hooks, and MCP servers into a distributable plugin.postgresUse when working with PostgreSQL specifically. Covers indexing, MVCC and vacuum, connection pooling, partitioning, JSONB, replication, and the operational…product-analysisUse when analyzing a product's performance or deciding what to build.prompt-engineeringUse when writing or improving prompts for a language model. Covers instruction structure, examples, reasoning elicitation, output formatting, and…ragUse when building retrieval-augmented generation. Covers chunking, embedding and hybrid search, reranking, grounding and citation, and diagnosing whether a bad…realtime-websocketsUse when building realtime features with WebSockets or Server-Sent Events.refactoringUse when improving the structure of code without changing its behavior. Covers safe refactoring sequences, characterization tests, and knowing when to stop.repository-explorationUse when orienting in an unfamiliar codebase. Produces a map of the architecture, entry points, data flow, conventions, and the parts most likely to surprise…resumeUse when writing or tailoring a CV or resume. Covers evidence over adjectives, tailoring to a specific role without lying, structure, and the specific patterns…simple-designUse when code has grown hard to hold in your head. Applies complexity limits, dependency reduction, and encapsulation to bring functions and modules back under…skill-authoringUse when writing a new skill for an AI agent. Covers scoping, description writing for reliable triggering, progressive disclosure, and the difference between a…skill-reviewUse when reviewing or improving an existing agent skill. Covers triggering accuracy, content quality, redundancy with the base model, and measuring whether the…slash-commandsUse when creating reusable slash commands for an agent. Covers when a command beats a skill, argument handling, composing tool calls, and writing commands that…sparkUse when building distributed data pipelines with Apache Spark.spring-bootUse when building Spring Boot services. Covers dependency injection, transaction boundaries, JPA performance, configuration, validation, and testing slices.structured-outputUse when an LLM must return machine-readable data. Covers schema design for models, native structured-output modes, validation and repair, and extraction that…subagentsUse when delegating work to a separate agent with its own context.themingUse when building a theme or theming system for an interface. Covers token architecture, dark mode, contrast preservation across themes, and generating a…ui-reviewUse when critiquing an interface design. Covers hierarchy, affordance, consistency, states, and delivering feedback that changes the design rather than…user-researchUse when planning, running, or synthesizing user research. Covers interview questions that produce evidence rather than opinions, usability testing, and…visual-designUse when creating posters, covers, social graphics, or other static visual designs.