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6.567 skills encontradas

training-pipeline-debugging

7

Diagnose NaN losses, out-of-memory errors, and shape mismatches in deep learning or ML pipelines.

Desenvolvimento #ai #mcp por yeaight7

parallel-execution-engine

7

Run independent work in parallel with explicit wave boundaries, lightweight coordination, and bounded verification. Use when latency matters and the work does not need a persistent completion loop.

Desenvolvimento #mcp por yeaight7

memory-build-workflow

7

Use when a user needs to build or refresh persistent graph memory from a mixed corpus and the right path may include graphify, incremental update, or helper conversion before ingestion.

Desenvolvimento #mcp por yeaight7

ship-pipeline

7

Full-stack app pipeline — build, test, review, and deploy across one or ALL repos. Scans CLAUDE.md, MEMORY.md, TODOs, open PRs, and issues for shippable work. Supports 'ship all' for multi-repo. Use when: 'build and ship', 'ship it', 'ship all', 'deploy everything', 'full pipeline', 'what needs shipping', 'end to end'.

Desenvolvimento #ai #deploy por tinh2

ai-slop-cleaner

7

Run an anti-slop cleanup workflow on AI-generated code — regression-tests-first, smell-by-smell, behavior preserved.

Desenvolvimento #ai #mcp por yeaight7

onboarding

7

Generate a comprehensive developer onboarding guide from your codebase. Analyzes tech stack, project structure, build commands, environment variables, code conventions, and git workflow to produce setup instructions, architecture overview, common task recipes, and troubleshooting guides. Use when you need a getting started guide, developer setup docs, CONTRIBUTING.md, new developer documentation,

Desenvolvimento #ai #git por tinh2

writing-skills

7

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Desenvolvimento #deploy #mcp por yeaight7

mcporter

7

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.

Outros #ai #mcp por braxtonROSE4

production-optimizer

7

Audit manufacturing production optimization systems for OEE (Overall Equipment Effectiveness) calculation accuracy, Six Big Losses categorization, job shop and flow shop scheduling algorithms (LP, MIP, constraint programming, genetic algorithm), Theory of Constraints bottleneck detection, SMED changeover optimization, sequence-dependent setup matrices, finite capacity planning, Kanban WIP limits,

Desenvolvimento #ai #mcp por tinh2

brag-doc

7

Generate a comprehensive, impact-framed brag-doc entry for a chosen time window (day, week, biweek, month, or custom). Pulls authored PRs, reviews given, commits, deploys, and linked tickets across GitHub, local git, and configured MCPs, then synthesises a themed narrative — leading with outcomes, quantifying impact, owning the work in first-person past tense, separating IC contributions from ampl

Desenvolvimento #deploy #git por Flagrare

metrics

7

Computes development quality and velocity metrics from git history and tracks improvement over time. Measures fix ratios, rework hotspots, test coverage, DORA metrics, and code churn.

Desenvolvimento #ai #git por tinh2

caregiver-coordination

7

Analyze caregiver coordination platforms for scheduling optimization, task assignment, handoff communication, family/professional caregiver integration, care plan compliance, burnout prevention, and documentation workflows. USE THIS SKILL WHEN: user mentions caregiver scheduling, home care coordination, care team management, shift handoffs, caregiver burnout, EVV (Electronic Visit Verification), h

Automação #ai #mcp por tinh2