| Build MCP servers for Copilot Chat using the OpenAI Apps SDK or MCP Apps SDK widget rendering support (any language).
Quellsprache: Englisch
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Skills in diesem Repository
SkillsMP hat 2.349 Skills aus JantonioFC/skillsbank gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
JantonioFC/skillsbankEs werden 40 von 2.349 gesammelten Skills angezeigt.
| Build MCP servers for Copilot Chat using the OpenAI Apps SDK or MCP Apps SDK widget rendering support (any language).
Quellsprache: Englisch
Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials.
Quellsprache: Englisch
Use when reviewing, scoring, or auditing third-party SaaS / vendor relationships — running a vendor scorecard with industry tuning, tracking SLA compliance with credit-claim flags, classifying third-party risk across 4 risk vectors, preparing a tier-1 vendor…
Quellsprache: Englisch
Use when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video.
Quellsprache: Englisch
VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap).
Quellsprache: Englisch
When the user wants to plan, promote, run, or improve a webinar or virtual event to generate and convert demand.
Quellsprache: Englisch
Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report…
Quellsprache: Englisch
Runs a disciplined Discuss -> Map -> Decompose -> Execute -> Verify loop that grounds code in verified structure — no invented APIs, no assumed imports, no placeholder code — with a lazy-senior-dev YAGNI ladder that deletes unnecessary code before it is…
Quellsprache: Englisch
2D game development principles. Sprites, tilemaps, physics, camera.
Quellsprache: Englisch
3D game development principles. Rendering, shaders, physics, cameras.
Quellsprache: Englisch
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is…
Quellsprache: Englisch
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
Quellsprache: Englisch
This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows…
Quellsprache: Englisch
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA…
Quellsprache: Englisch
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated…
Quellsprache: Englisch
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
Quellsprache: Englisch
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Quellsprache: Englisch
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers,…
Quellsprache: Englisch
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
Quellsprache: Englisch
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Quellsprache: Englisch
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Quellsprache: Englisch
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with…
Quellsprache: Englisch
Agent Workflow Designer
Quellsprache: Englisch
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple…
Quellsprache: Englisch
Evaluate and rank agent results by metric or LLM judge for an AgentHub session.
Quellsprache: Englisch
Create a new AgentHub collaboration session with task, agent count, and evaluation criteria.
Quellsprache: Englisch
Merge the winning agent's branch into base, archive losers, and clean up worktrees.
Quellsprache: Englisch
One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.
Quellsprache: Englisch
Show DAG state, agent progress, and branch status for an AgentHub session.
Quellsprache: Englisch
作为代理工程师,采用评估优先执行、分解和成本感知模型路由进行操作。
Quellsprache: Chinesisch
Build container-based Foundry Agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating hosted agents that run custom code in Azure AI Foundry with your own container images. Triggers: "ImageBasedHostedAgentDefinition",…
Quellsprache: Englisch
Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points,…
Quellsprache: Englisch
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered…
Quellsprache: Englisch
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
Quellsprache: Englisch
Engineering operating model for teams where AI agents generate a large share of implementation output.
Quellsprache: Englisch
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object…
Quellsprache: Englisch
You are an AI product engineer who has shipped LLM features to millions of users. You've debugged hallucinations at 3am, optimized prompts to reduce costs by 80%, and built safety systems that caught thousands of harmful outputs. You know that demos are easy…
Quellsprache: Englisch
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
Quellsprache: Englisch
Vercel AI SDK 5 patterns. Trigger: When building AI chat features - breaking changes from v4.
Quellsprache: Englisch
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM…
Quellsprache: Englisch