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Found 350 Skills
Log what you built (text, images, commits, branches); get LinkedIn, X, Reddit, and standup copy in one go. Stores structured daily logs (logs/YYYY-MM-DD.md) and generates platform-ready drafts (posts/). Use when the user wants to log this, log my day, turn my log into a post, post ideas from my logs, standup from my logs, or drafts for LinkedIn / X / Reddit. Use this skill whenever the user mentions logging their day, turning notes or chat into posts, standup notes, or generating LinkedIn/X/Reddit from dev activity, even if they don't name the skill. Messages that start with "Log: " (with a space) are log requests: log the rest of the message.
ZenTao MCP Large Model Capability Extension Package. It provides four native capabilities: cross-project data aggregation view, one-sentence task creation, seamless effort logging, and automatic state transition.
Use when choosing a logging approach, configuring slog, writing structured log statements, or deciding log levels in Go. Also use when setting up production logging, adding request-scoped context to logs, or migrating from log to slog, even if the user doesn't explicitly mention logging. Does not cover error handling strategy (see go-error-handling).
Use whenever creating, modifying, or debugging payment modules in QloApps — offline methods and online payment gateways. Covers PaymentModule class, payment hooks, checkout integration, validateOrder flow, API credentials, webhook handling, transaction logging, and refunds.
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.
Structured logging strategy including log levels, correlation IDs, context propagation, and PII avoidance. Use when designing logging, reviewing log statements, or setting up log aggregation.
Generates Tzatziki-based Cucumber BDD tests (.feature files) from a functional specification. Use this skill whenever a user wants to write Cucumber tests, add BDD scenarios, create feature files, generate tests, or test application behaviors with Gherkin — especially in Java/Spring projects using Tzatziki step definitions for HTTP, JPA, Kafka, MongoDB, OpenSearch, logging, or MCP. Also use when the user mentions writing integration tests, acceptance tests, or end-to-end tests in a project that already has Tzatziki/Cucumber dependencies, including TestNG-based setups.
Build FastAPI services with JWT auth, structlog, and Prometheus metrics. Use when creating or modifying a Python HTTP server, adding authentication, structured logging, or instrumentation to a FastAPI app.
Autonomous experiment loop for optimization research. Use when the user wants to: - Optimize a metric through systematic experimentation (ML training loss, test speed, bundle size, build time, etc.) - Run an automated research loop: try an idea, measure it, keep improvements, revert regressions, repeat - Set up autoresearch for any codebase with a measurable optimization target Implements the autoresearch pattern with MAD-based confidence scoring, git branch isolation, and structured experiment logging.
Help a CS or AI PhD student design hypothesis-driven experiments with baselines, variables, metrics, controls, logging, and stop conditions. Use this skill whenever the user is about to run experiments, compare models, plan an ablation, debug inconclusive results, prepare an experiment section, or wants to avoid changing too many things at once.
Audit a CS or AI research project for reproducibility across environment, data, code, configuration, logging, and documentation. Use this skill whenever the user wants to make experiments reproducible, prepare code for collaborators, debug environment drift, write a README, package a project for paper release, or ensure they can rerun results months later.
Master Taubyte workflow skill. Enforces strict order with Dream-by-default routing, scope routing, context logging, and verification.