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31.375 skills encontradas

jiang-autonomous-work-protocol

7

Use this skill when a Jiang Lens autonomous agent needs to discover, claim, perform, validate, and hand off repo work without overwriting other agents or confusing authored, raw, and generated artifacts.

Pesquisa e Web #ai por apresmoi

rehab-therapy

7

Audit a rehabilitation or physical therapy platform end-to-end -- evaluate recovery metrics tracking (ROM, strength, balance, gait), patient-reported outcomes (DASH, LEFS, NDI, ODI, PROMIS), home exercise program personalization and compliance tracking, setback prediction with risk stratification and plateau detection, therapist scheduling and caseload balancing, insurance authorization and 8-minu

Desenvolvimento #ai #api por tinh2

simpo-training

7

Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.

DevOps e Infra #ai #llm por braxtonROSE4

test

7

Workflow for writing tests against requirements — verifying that a feature, endpoint, or function behaves correctly according to its specification, not according to its current implementation. Reads the spec/requirement and the surface being tested (signatures, contracts, observable behavior); deliberately avoids mirroring implementation logic into the tests. Suitable for adding coverage after the

Desenvolvimento #ai #test por yamanidev

lab-management

7

Audit laboratory management systems -- chemical inventory (SDS, GHS, CAS tracking), equipment lifecycle and calibration scheduling, safety compliance (OSHA 29 CFR 1910.1450, Chemical Hygiene Plans, biosafety levels), hazardous waste management (EPA 40 CFR 260-270), training record enforcement, and SOP/protocol version control. Use when reviewing university, corporate, or government lab software ha

Desenvolvimento #ai #mcp por tinh2

revrec-saas

7

Generate an ASC 606 / IFRS 15 revenue recognition engine for SaaS — the five-step model (identify contract, identify performance obligations, determine transaction price, allocate to performance obligations, recognize as POs are satisfied) applied to subscription contracts, multi-element arrangements (subscription + implementation + training + support), contract modifications, ramp deals, usage-ba

Desenvolvimento #ai #mcp por tinh2

data-pipeline

7

Build a production-ready data API from scratch: scaffold REST endpoints with models and validation, generate integration tests that verify every route, then load test for scalability. Use when you need an API backend, data service, CRUD layer, or microservice with verified correctness and performance.

Desenvolvimento #ai #api por tinh2

merchandising-analytics

7

Analyze retail merchandising systems including planogram optimization (space-to-sales alignment, fair share index, sales per linear foot), visual merchandising effectiveness for in-store displays and e-commerce product pages, market basket analysis with association rule mining (Apriori, FP-Growth), cross-sell and upsell recommendation engine performance, seasonal calendar and event planning execut

Desenvolvimento #ai #mcp por tinh2

code-reviewer

7

Activates CodeReviewer for systematic, multi-dimensional code review. Use when you need a pull request reviewed for correctness, security vulnerabilities, performance bottlenecks, architectural quality, test coverage gaps, or maintainability issues. Produces a structured review with severity-labeled findings and actionable fixes.

Desenvolvimento #ai #test por vignesh2027

docker-management

7

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

DevOps e Infra #ai #docker por braxtonROSE4

design-amplify

7

Amplify safe, boring designs into visually confident interfaces. Increases contrast, adds dramatic typography, introduces bold color, and creates visual tension. Makes designs impossible to ignore.

Desenvolvimento #ai #mcp por tinh2

peec-learn

7

Cross-project pattern layer for the Peec AI growth loop. After any Peec skill completes (or after peec-report closes a cycle), extract 1–3 concrete patterns from the output and persist them to SkillMind via mcp__skillmind__add_pattern / remember. On the next orchestrator run, recall matching patterns and pass them in as priors — so lessons learned on project A inform decisions on project B. Use wh

Desenvolvimento #ai #llm por AntonioBlago