Types
Type checking and type generation
typescript-satisfies-operator
by flpbalada
Guides proper usage of TypeScript's satisfies operator vs type annotations. Use this skill when deciding between type annotations (colon) and satisfies, validating object shapes while preserving literal types, or troubleshooting type inference issues.
erpnext-code-validator
by OpenAEC-Foundation
"Intelligent agent for validating ERPNext/Frappe code against best practices and common pitfalls. Use when reviewing generated code, checking for errors before deployment, or validating code quality. Triggers: review this code, check my script, validate before deployment, is this correct, find bugs, check for errors, will this work."
verify
by agenticnotetaking
Combined verification — recite (description quality via cold-read prediction) + validate (schema compliance) + review (health checks). Use as a quality gate after creating notes or as periodic maintenance. Triggers on "/verify", "/verify [note]", "verify note quality", "check note health".
stats
by agenticnotetaking
Show vault statistics and knowledge graph metrics. Provides a shareable snapshot of vault health, growth, and progress. Triggers on "/stats", "vault stats", "show metrics", "how big is my vault".
vue-best-practices
by uni-helper
MUST be used for Vue.js tasks. Strongly recommends Composition API with <script setup> and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.
validate
by agenticnotetaking
Schema validation for notes. Checks against domain-specific templates. Validates required fields, enum values, description quality, and link health. Non-blocking — warns but doesn't prevent capture. Triggers on "/validate", "/validate [note]", "check schema", "validate note", "validate all".
add-domain
by agenticnotetaking
Add a new knowledge domain to your existing system. Derives domain-specific configuration through conversation, generates domain folders, templates, and vocabulary while preserving and connecting to your existing architecture.
ralph
by agenticnotetaking
Queue processing with fresh context per phase. Processes N tasks from the queue, spawning isolated subagents to prevent context contamination. Supports serial, parallel, batch filter, and dry run modes. Triggers on "/ralph", "/ralph N", "process queue", "run pipeline tasks".
reseed
by agenticnotetaking
Re-derive your knowledge system from first principles when structural drift accumulates. Analyzes dimension incoherence, vocabulary mismatch, boundary dissolution, and template divergence. Preserves all content while restructuring architecture.
graph
by agenticnotetaking
Interactive knowledge graph analysis. Routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions. Triggers on "/graph", "/graph health", "/graph triangles", "find synthesis opportunities", "graph analysis".
recommend
by agenticnotetaking
Get research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for".
write-sql-queries
by G4brym
Guide for writing SELECT, INSERT, UPDATE, DELETE queries with workers-qb
capgo-live-updates
by Cap-go
Complete guide to implementing live updates in Capacitor apps using Capgo. Covers account creation, plugin installation, configuration, update strategies, and CI/CD integration. Use this skill when users want to deploy updates without app store review.
ai-tool-designer
by nityeshaga
Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.
feature-flags
by cosmix
Feature flag patterns for controlled rollouts, A/B testing, kill switches, and runtime configuration. Use when implementing feature toggles, feature flags, gradual rollouts, canary releases, percentage rollouts, dark launches, user targeting, A/B tests, experiments, circuit breakers, emergency kill switches, model switching, or infrastructure flags.
golang
by cosmix
Go language expertise for writing idiomatic, production-quality Go code. Use for Go development, concurrency patterns, error handling, testing, and module management. Triggers: go, golang, goroutine, channel, interface, struct, pointer, slice, map, defer, context, error, gin, echo, fiber, cobra, viper, gorm, sqlx, go mod, go test, effective go, errgroup, sync, mutex, waitgroup.
python
by cosmix
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async programming, type hints, testing with pytest, packaging (pip, uv, poetry), linting (ruff, mypy, black), and PEP 8 standards. Use for any Python development including data engineering and machine learning workflows. Triggers: python, py, pip, uv, poetry, virtualenv, pytest, pydantic, fastapi, django, flask, pandas, numpy, dataclass, type hints, asyncio, mypy, ruff, black, sklearn, pytorch, tensorflow, jupyter, pipenv, conda.
error-handling
by cosmix
Comprehensive error handling patterns and strategies including Rust Result/Option, API error responses, data pipeline error handling, and security-aware error handling. Use when implementing exception handling, error recovery, retry logic, circuit breakers, fallback mechanisms, graceful degradation, or designing error hierarchies. Triggers: error, exception, try, catch, throw, raise, Result, Option, panic, recover, retry, fallback, graceful degradation, circuit breaker, error boundary, 500, 4xx, 5xx, thiserror, anyhow, RFC 7807, error propagation, error messages, stack trace.
model-evaluation
by cosmix
Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Covers training debugging, hyperparameter tuning, and production monitoring. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, F1-score, ROC, AUC, ROC-AUC, confusion matrix, cross-validation, k-fold, stratified, overfitting, underfitting, bias, variance, bias-variance tradeoff, hyperparameter, hyperparameter tuning, loss, loss function, metric, benchmark, benchmarking, model performance, classification metrics, regression metrics, RMSE, MSE, MAE, MAPE, R2, R-squared, train-test split, validation set, test set, hold-out, learning curve, validation curve, model selection, error analysis, residual analysis, ML testing, training issues, convergence, gradient, vanishing gradient, exploding gradient, training instability, LLM evaluation, language model evaluation, prompt engineering evaluation, A/B testing, champion-challenger, model monitoring, model drift, data drift, concept drift, model decay.
api-documentation
by cosmix
Document REST APIs with OpenAPI/Swagger specifications, endpoint documentation, authentication, error handling, and SDK guides. Use for API reference docs, Swagger specs, and client library documentation. Triggers: api docs, openapi, swagger, endpoint documentation, rest api, api reference, sdk documentation, api specification, document api, api endpoints, request response examples, schema documentation, openapi 3.1, redoc, stoplight, postman collection, api explorer, interactive docs, api contract, api schema, swagger ui, authentication flows, rate limits.
prompt-engineer
by nityeshaga
Expert prompt engineering for AI systems. Use when the user wants to write or review prompts for AI, create instructions for AI systems, build system prompts, review or improve existing prompts, optimize AI instructions, or create any form of written communication intended for AI consumption (Claude, GPT, or other LLMs).
api-design
by cosmix
Designs RESTful APIs, GraphQL schemas, and RPC interfaces following best practices for consistency, usability, and scalability. Trigger keywords: api design, REST, RESTful, REST API, GraphQL, GraphQL schema, gRPC, OpenAPI, Swagger, endpoint, route, resource, CRUD, HTTP method, GET, POST, PUT, PATCH, DELETE, status code, pagination, filtering, sorting, versioning, HATEOAS, API versioning, schema design, RPC, service design.
e2e-testing
by cosmix
End-to-end testing patterns and best practices for web applications using Playwright, Cypress, Selenium, and Puppeteer. Covers Page Object Model, test fixtures, selector strategies, async handling, visual regression testing, and flaky test prevention. Includes QA expertise for acceptance testing, smoke testing, cross-browser testing, and test reliability. Use when setting up E2E tests, debugging test failures, improving test reliability, or implementing browser automation. Trigger keywords: e2e, e2e testing, end-to-end, end-to-end tests, Playwright, Cypress, Selenium, Puppeteer, Page Object Model, page object, test fixtures, selectors, locator, locators, data-testid, async tests, visual regression, visual testing, screenshot, flaky tests, flakiness, browser testing, browser automation, UI test, UI testing, acceptance test, acceptance testing, smoke test, smoke testing, integration test, wait, waits, assertion, assertions, test data, test isolation.
conventional-commits
by Jamie-BitFlight
When writing a git commit message. When task completes and changes need committing. When project uses semantic-release, commitizen, git-cliff. When choosing between feat/fix/chore/docs types. When indicating breaking changes. When generating changelogs from commit history.