DevOps & Infra

lev-os Skill

Prepares annual meeting presentations with fund performance review, market outlook, pipeline discussion, and LP Q&A preparation. Use when preparing AGM materials, structuring LP presentations, or coordinating annual meetings.

lev-os Skill

Drafts U.S. clinical trial Investigator Agreements between sponsors/CROs and principal investigators or institutions for FDA-regulated drug, biologic, or device studies. Enforces 21 CFR Parts 50, 56, 312/812, ICH GCP E6(R2), HIPAA, IRB requirements, FMV/AKS payment compliance, data integrity, publication rights, IP ownership, indemnity, and audit access. Use when drafting investigator agreements, PI agreements, clinical trial site agreements, or sponsor-PI contracts; trigger keywords: investigator agreement, clinical trial agreement, PI agreement, FDA, IND, IDE, IRB, GCP, clinical research agreement, site agreement.

lev-os Skill

Applies GCP/ICH principles to clinical research operations with compliance monitoring. Use when ensuring GCP compliance, training on ICH guidelines, or auditing research practices.

lev-os Skill

Designs infrastructure fund structures with longer fund lives, NAV-based distributions, and co-investment programs for illiquid assets. Use when structuring infra funds, designing open-ended vehicles, or analyzing infrastructure fund terms.

lev-os Skill

Tracks fundraising progress with prospect pipeline, commitment tracking, and closing projection for fund formation processes. Use when monitoring fundraising, tracking LP commitments, or projecting fund closing timelines.

lev-os Skill

Structures infrastructure DD with technical assessment, regulatory review, environmental analysis, and community impact evaluation. Use when conducting infra DD, evaluating asset condition, or assessing regulatory risk.

lev-os Skill

Synthesizes ECM market conditions with recent pricing, sector performance, and pipeline activity for client communication. Use when preparing market updates, summarizing ECM activity, or advising on market timing.

lev-os Skill

Values infrastructure assets with DCF, regulated asset base, and comparable transaction methodologies adjusted for regulatory and contractual frameworks. Use when valuing infrastructure assets, analyzing regulated utilities, or benchmarking infra transactions.

lev-os Skill

Evaluates midstream assets with throughput analysis, fee-based vs commodity-exposed revenue, and contract structure assessment. Use when analyzing midstream investments, evaluating pipeline assets, or assessing gathering systems.

lev-os Skill

Structures infrastructure investment recommendations with regulatory analysis, cash flow modeling, and risk assessment for IC presentation. Use when preparing infra investment cases, building IC materials, or documenting infrastructure opportunities.

lev-os Skill

Assesses infrastructure fund secondaries with asset-level cash flow analysis, concession period evaluation, and regulatory risk assessment. Use when analyzing infra secondaries, evaluating infrastructure assets, or pricing infra fund interests.

lev-os Skill

Structures clinical NLP pipeline design with entity extraction and assertion detection specifications. Use when designing clinical NLP, extracting entities from notes, or building text analysis pipelines.

boisenoise Bundle

DevOps and infrastructure specialist for Rails applications. Use when setting up Docker, CI/CD pipelines, deployment configurations, monitoring, logging, or production optimizations. Covers GitHub Actions, Docker, Kubernetes, and cloud platforms.

boisenoise Skill

Automate Box cloud storage operations including file upload/download, search, folder management, sharing, collaborations, and metadata queries via Rube MCP (Composio). Always search tools first for current schemas.

boisenoise Bundle

Orchestrates test planning pipeline (research → manual → auto tests). Coordinates ln-511, ln-512, ln-513. Invoked by ln-500-story-quality-gate.

boisenoise Skill

Orchestrates test planning pipeline: research, manual testing, automated test planning. Use when Story needs comprehensive test coverage planning.

boisenoise Bundle

Audit project documentation quality across 8 categories (Hierarchy, SSOT, Compactness, Requirements, Actuality, Legacy, Stack Adaptation, Semantic Content). Delegates to ln-601 for deep semantic verification of project documents. Use when documentation needs quality review, after major doc updates, or as part of ln-100-documents-pipeline. Outputs Compliance Score X/10 per category + Findings + Recommended Actions.

boisenoise Skill

Automate Pipedrive CRM operations including deals, contacts, organizations, activities, notes, and pipeline management via Rube MCP (Composio). Always search tools first for current schemas.

boisenoise Bundle

Audit code comments and docstrings quality across 6 categories (WHY-not-WHAT, Density, Forbidden Content, Docstrings, Actuality, Legacy). Use when code needs comment review, after major refactoring, or as part of ln-100-documents-pipeline. Outputs Compliance Score X/10 per category + Findings + Recommended Actions.

boisenoise Bundle

Drives a Story through full pipeline (tasks, validation, execution, quality). Use when executing a Story end-to-end from kanban board.

sezer-ai Skill

Evidence-driven master audit, CodeGraph-assisted architecture analysis, feature-gap detection, and controlled refactoring skill for ASP.NET Core MVC solutions. Use to discover solution structure and technologies; audit modular boundaries, dependency direction, Clean Architecture / Vertical Slice / Modular Monolith fit, MVC controllers/views/viewmodels, application/domain services, EF Core entities/configurations/DbContexts/migrations/database schema expectations, security, performance, testing, and cross-layer consistency; then produce traceable findings and a dependency-aware refactoring plan. Full audit requires CodeGraph-assisted semantic/dependency analysis. Default mode is READ-ONLY; implementation/refactoring requires explicit authorization.

sezer-ai Skill

🧠 SEZER AI MVC Evidence-Driven ASP.NET Core MVC Audit & Refactoring Skill An advanced AI skill that analyzes ASP.NET Core MVC projects across architecture, security, database, performance, testing, and code quality.

199-biotechnologies Bundle

This skill should be used when the user asks to "upload to App Store", "manage App Store Connect", "update app metadata", "upload screenshots", "set app description", "set keywords", "manage TestFlight", "add beta testers", "check app reviews", "respond to reviews", "submit for review", "set app pricing", "create in-app purchase", "manage subscriptions", "check sales reports", "download finance report", "download analytics", "set phased release", "pause phased release", "resume phased release", "create app event", "manage app clips", "deploy iOS app", "archive and upload build", "translate app metadata", "check app status", "manage app store listing", "nominate for featuring", "create custom product page", "set age rating", "manage release notes", "set app category", "upload app preview", "check build status", "list builds", "set privacy policy URL", "set content rights", "set review contact info", "create new app version", "increment version", "manage territory availability", "set app availability", "create

1999azzar Bundle

Build, configure, and deploy applications and platform resources on Cloudflare. Use when the user wants help with Workers, Pages, Wrangler, storage, AI, networking, security, or related Cloudflare services.

1999azzar Bundle

Link, configure, preview, and deploy web projects to Netlify with the Netlify CLI. Use when the user wants to publish a site, connect a repo, configure build settings, manage `netlify.toml`, or run preview and production deploys.

2233admin Bundle

Install, validate, and query Code Intel Pipeline evidence for repository understanding, architecture analysis, code indexing, hotspot diagnosis, structural regression gates, and artifact handoff. Use when an agent needs to bootstrap a verified GitHub Release, run `code-intel`, inspect committed artifacts or gate freshness, choose impacted tests before editing, preview AST rewrites, or diagnose provider boundaries. Also use before implementing, refactoring, or fixing code in an analyzed repository. NOT: do not use this skill for reviewing diffs, designing implementations, type-shape review, swallowed-error hunting, vulnerability scanning, or same-stack upgrades; route those gaps to the catalog-bound assistance skills.

nagisanzenin Skill

Run a scientific study that is actually SOLID — pre-registered, adequately powered, and blind-judged — so the conclusion is defensible and whatever you build on top of it isn't built on sand. Use when the user wants to run an experiment, A/B test, ablation, eval, or comparison and have the result HOLD UP. crucible enforces the three disciplines an agent skips (pre-registration, sample size, blind judging) as gates the pipeline refuses to pass.

nagstler Bundle

Production-grade LLM integration patterns for Ruby on Rails applications. USE THIS SKILL when the user needs to: integrate OpenAI, Claude, or any LLM API into a Rails app; use ruby_llm gem or langchain-rb gem in Rails; build AI-powered features in Rails; manage prompts as templates; route between LLM models for cost optimization; run LLM calls as background jobs; set up Braintrust evals; use LiteLLM or Portkey as a proxy; track LLM costs; test AI features; audit LLM usage patterns; build RAG pipelines in Rails with langchain-rb; add classification, summarization, extraction, or generation features to Rails; manage LLM API keys and budgets; handle LLM errors and retries; or adopt conventions for LLM service objects similar to ActionMailer or ActiveJob patterns. Triggers on: LLM in Rails, OpenAI Rails integration, Claude API Ruby, Anthropic SDK Rails, AI features Rails, prompt engineering Ruby, model routing, LLM cost optimization, Braintrust Rails, eval pipeline Ruby, background LLM jobs, async AI calls, LLM s

myclaude-sh Bundle

Anti-hallucination engineering framework for Claude Code. 3-phase pipeline: Architecture (6 Questions) > Engineering (Build-Verify-Seal) > Verification (XP Scorecard). Enforces contracts, bottom-up bu

myriad-dreamin Bundle

Guide Reflexo/typst.ts release preparation and operator handoffs. Use when the user asks about 发版, release, publish, version bumping, release dry-runs, npm trusted publishing, GitHub Release artifacts, Docker/crates publishing, or wants a guide/checklist agent for this repository's release process.

nanzhipro Bundle

Set up a disk-backed Phase-AI-Anime workflow for AI anime drama and manga-motion video projects. Use when the user wants to create, plan, continue, reset, or revise AI 漫剧, AI 动漫短剧, webtoon-to-video, anime short drama, storyboard-to-video, image/video/TTS generation pipelines, shot lists, dialogue scripts, asset prompts, audio-video timelines, or final assembly manifests across many sessions. Triggers: 'AI 漫剧', 'AI 动漫视频', '动漫短剧', '漫剧工作流', '分镜脚本', '音画同步', '生图到视频', 'AI drama pipeline', 'anime video workflow', 'storyboard to video', 'image to video', 'TTS timeline', 'phase-ai-anime', 'reset phase', '重置 phase', '从 0 开始'. Scaffolds plan/manifest.yaml, plan/common.md, phase and execution contracts, planctl, profiles, generation job specs, and synchronized agent instruction files so production state survives context compression across Copilot, Claude Code, and Codex.

mystenlabs Bundle

Deep, multi-lens security & correctness audit of the DeepBook Predict smart contracts (the predict + propbook + account Move source). Use when asked to audit Predict, hunt bugs/invariant-violations/exploits in Predict, review Predict contract changes before merge, or assess economic safety of the Predict protocol. Smart-contract audit — finds bugs, invariant violations, exploits, and architecture/maintainability issues; it does not check deploy/ops readiness. RUNNING IT IS EXPENSIVE (a whole-fleet run is dozens of agents / a few million tokens; every harness requires an explicit scope and bounds its own agent count by construction) and REQUIRES explicit user confirmation before every run — never execute it automatically.

naorsabag Skill

Render an interactive step-by-step diagram of a specific system, feature, codebase, workflow, pipeline, user journey, architecture, idea, or proposed solution using OpenHop. Use this skill whenever the user wants to understand, explain, describe, walk through, trace, diagram, or visualize a sequence of named hops between identifiable components/actors (e.g. an auth flow, a checkout pipeline, an onboarding journey, a product's features, how a system works end-to-end, an architecture, a proposed design). Any prompt of the shape "how does X work?", "explain how X works", "walk me through X", "diagram X", or "trace what happens when …" is a trigger, as long as X has named parts that pass data between each other. Do NOT activate for single-concept definitions or comparisons with no step sequence (e.g. "what is a closure?", "let vs const", "define recursion"). When activated, prefer this skill over a prose explanation or a static Mermaid/PlantUML diagram.

narasaka Skill

MUST USE for any task involving the dotenvx CLI tool — encrypting .env files, running commands with injected env vars, managing secrets across environments, and decrypting at runtime. Use this skill whenever the user mentions dotenvx, dotenv encryption, DOTENV_PRIVATE_KEY, encrypted .env files, or the dotenvx encrypt/run/set/get/decrypt/keypair commands. Also trigger when the user wants to: commit .env files safely to git, stop sharing secrets over Slack/chat, encrypt environment variables with public-key cryptography, set up multi-environment .env configs (production/staging/ci), manage secrets in a monorepo with -fk flag, migrate from python-dotenv or plain dotenv to encrypted envs, inject env vars into any process across any language (Node, Python, Ruby, Go, Rust, etc.), or configure CI/CD pipelines (GitHub Actions, Docker) with encrypted env files. This skill contains the authoritative CLI reference — without it, responses will hallucinate non-existent commands and flags.

n0an Bundle

Multi-stage agent pipeline for feature development with deterministic quality gates - a specifier writes Gherkin acceptance criteria, a coder implements to green tests, a cleaner drives every function under a per-function CRAP threshold, a hardener kills surviving mutants via mutation testing. Use when implementing a user story with verifiable quality, when asked to "run the gauntlet", or when setting up quality gates for agent-written code.

ndpvt-web Bundle

End-to-end market research to institutional-grade PPTX pipeline with AI-generated imagery, 5 adaptive themes, and 12 layout types. Live web research, consulting frameworks (TAM/SAM/SOM, Porter's, SWOT, PESTEL), native charts, tables, framework diagrams, AI cover images, hero stats, KPI dashboards, icon grids -- rivaling Gamma and NotebookLM but with editable PowerPoint output. Use when: (1) user asks to research a market/industry/company AND produce a presentation, (2) user asks for a market analysis deck or pitch book, (3) user asks for competitive analysis presentation, (4) user says 'market research presentation' or 'research deck' or 'pitch book' or 'industry analysis presentation' or 'consulting deck', (5) user wants to analyze and present findings on any market/industry/company topic