
π―Skills100
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An academic paper writing skill that guides the full ML/CV/NLP paper workflow β from Abstract, Introduction, Method, and Experiments sections through figures/tables, reviewer responses, and camera-ready revision β with claim-evidence alignment, section planning, and reviewer-risk checks.
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Part of a collection of 91 AI agent skills using the jeo orchestration protocol, providing unified Plan-Execute-Verify-Cleanup pipelines and multi-agent team coordination across Claude Code, Gemini CLI, Codex, and OpenCode.
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Part of a collection of 91 AI agent skills using the jeo orchestration protocol, providing unified Plan-Execute-Verify-Cleanup automated pipelines with multi-agent team coordination across Claude Code, Gemini CLI, Codex, and OpenCode.
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A skill within a 91-skill cross-platform collection for LLM-based development workflows, providing data visualization and reporting capabilities for Google Looker Studio and BigQuery through the jeo orchestration protocol.
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A skill from a collection of 91 AI agent skills using the TOON format and jeo orchestration protocol, providing domain-specific guidance for video production workflows across Claude Code, Gemini CLI, and other AI agents.
A skill from a collection of 91 AI agent skills using the jeo orchestration protocol, providing structured guidance for task planning with automated Plan-Execute-Verify-Cleanup pipelines across multiple AI agent platforms.
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Part of a collection of 91 AI agent skills built around the jeo orchestration protocol, providing unified task orchestration across Claude Code, Gemini CLI, OpenAI Codex, and OpenCode with PlanβExecuteβVerifyβCleanup automated pipelines.
An oh-my-skills skill that provides UI component design patterns and best practices for AI coding agents, part of a 91-skill collection with cross-platform support for Claude Code, Gemini CLI, OpenAI Codex, and OpenCode.
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An oh-my-skills skill that provides database schema design patterns and best practices for AI coding agents, part of a 91-skill collection built around the jeo orchestration protocol supporting Claude Code, Gemini CLI, and Codex.
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Part of a collection of 91 AI agent skills built around the jeo orchestration protocol, providing unified task orchestration across Claude Code, Gemini CLI, OpenAI Codex, and OpenCode with PlanβExecuteβVerifyβCleanup automated pipelines.
A marketing automation skill that resolves broad marketing requests into a specific operating mode, primary lane, and reusable operator packet with clear ownership, dependencies, and proof requirements.
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A visual approval gate skill that lets users annotate, approve, or request changes on AI agent plans and diffs before execution, serving as a structured review checkpoint.
A coordination cadence skill that helps teams decide whether daily, async, hybrid, or no recurring standup meetings are justified, then routes to the appropriate standup format.
A decision-first repository structure skill that guides AI agents through choosing between framework defaults, feature folders, monorepo boundaries, docs taxonomy, and engine-aware game project layouts.
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A git submodule skill that first evaluates whether submodules, subtrees, vendoring, or package delivery is the right approach, then provides operational guidance for recursive bootstrap, pointer updates, and CI auth patterns.
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A routing-first pattern and anomaly hunting skill that lets you choose between text-prefilter, structural-code-rule, log-event-pattern, or metric-anomaly modes before deeper analysis.
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A sprint retrospective skill that routes between sprint retros, milestone postmortems, remote/hybrid facilitation, and dead-action-item recovery, keeping action items small and reviewing prior commitments first.
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A Firebase AI Logic skill that serves as the app/client integration anchor for Firebase-based AI features, handling direct feature fit, app wiring, production hardening, and escalation boundaries.
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An evidence-first diff and PR review skill with severity classification, missing-proof checks, and route-outs to related skills for deeper analysis.
Structured phase-based BMAD workflow orchestration for AI agents, guiding through Analysis, Planning, Solutioning, and Implementation stages in a systematic development process.
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A routing-first Fabric operator skill that processes stdin, files, transcripts, and logs into reusable patterns, supporting custom pattern packs, shell pipelines, and fabric --serve workflows for AI agents.
A routing-first deck creation skill that guides AI agents through building presentations, choosing deck modes and artifact packets (outline, storyboard, review-ready HTML, export handoff), with support for multiple output formats including HTML, PPTX, PDF, and Google Slides.
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A routing-first local Git workflow skill covering branch hygiene, selective staging, commit cleanup, merge-vs-rebase decision making, conflict resolution, lease-safe pushes, and recovery procedures.
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A Firebase platform operator skill for install/auth, project bootstrap/config, Emulator Suite workflows, scoped deploy/release flows, App Hosting, and admin/data operations, with explicit route-outs to genkit and firebase-ai-logic.
A framework-agnostic multi-agent orchestration skill that coordinates agent swarms using tmux-backed workers, git worktree isolation, and file-based task/inbox state, with reusable templates for full-stack, ML research, and team-based workflows.
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A decision-first prompt repetition skill designed for non-reasoning and lightweight LLMs, covering long-context retrieval, options-first MCQ, and position-sensitive lookup with explicit route-outs to retrieval systems or stronger models.
A routing-first LangSmith skill for LLM observability, tracing, evaluation, and prompt management, helping agents choose the right packet for trace-debug, evals, review queues, prompt-registry decisions, or cross-service propagation.
A routing-first skill for installing npm packages directly from GitHub repositories, covering temporary bridges, shared internal tooling, private-auth setups, artifact fallbacks, and workspace inner loops.
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