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External AI agent skills — snowboard-instructor

Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.

Tiers: core = the skill directly exercises a top market hard skill, tool or method (from gated job-ad evidence) or an essential ESCO competence of this occupation; adjacent = plausibly useful, secondary. Entries are capped at 12 per source and 80 in total per occupation (core first, strongest matches survive); everything beyond the caps is excluded and logged in the pipeline audit trail, not in this package.

Matched deterministically (ISCO group + title/competence keywords, tiered against market evidence + ESCO essentials) by pipeline/p5_enrich_ai_skills.py on 2026-07-14.

Source: anthropics/skills

  • Repository: https://github.com/anthropics/skills (commit f6656c1, retrieved 2026-07-14)
  • License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
Skill Tier What it adds Upstream
docx adjacent Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … source
pdf adjacent Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … source

Source: a5c-ai/babysitter

Skill Tier What it adds Upstream
lms-admin adjacent Configure and manage Learning Management System operations including courses, enrollments, compliance training, and learning analytics source

Source: affaan-m/everything-claude-code

Skill Tier What it adds Upstream
documentation-lookup adjacent Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma). source

Source: AIDevGTM/gtm-cofounder

Skill Tier What it adds Upstream
founder-led-content core Build authority by teaching the problem space, not announcing features. Use when the founder finds "marketing" distasteful and does none, publishes only product updates, or wants a sustainable content and GitHub-README strategy that … source

Source: anthropics/claude-plugins-official

Skill Tier What it adds Upstream
example-skill core This skill should be used when the user asks to "demonstrate skills", "show skill format", "create a skill template", or discusses skill development patterns. Provides a reference template for creating Claude Code plugin skills. source

Source: basicmachines-co/basic-memory

Skill Tier What it adds Upstream
memory-onboarding core Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, … source

Source: bevibing/tutor-skills

Skill Tier What it adds Upstream
tutor core Interactive quiz tutor for Obsidian StudyVault learning. Use when the user wants to: (1) Take a diagnostic assessment of their knowledge, (2) Study or review specific sections/topics, (3) Drill weak areas identified in previous sessions, … source

Source: brycewang-stanford/Auto-Empirical-Research-Skills

Skill Tier What it adds Upstream
education-skills core 7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools. source

Source: coreyhaines31/makerskills

Skill Tier What it adds Upstream
toolify adjacent When you want to integrate an external tool, API, MCP server, or service into a project — the wizard walks you through auth, config, env vars, client wrapper code, example usage, and (optionally) a smoke-test. Scoped to Next.js and Rails … source

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
academic-cv-builder core Format CVs for academic positions, including publications, grants, teaching, and research experience. Use when the user mentions academic CV, faculty job, tenure-track, postdoc, PhD, research position, or needs to list publications, … source
code-review-excellence core Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. source
moodle-external-api-development adjacent Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error … source
gptq adjacent Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
it-operations adjacent Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … source
optimizing-attention-flash adjacent Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
quantizing-models-bitsandbytes adjacent Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
railway-metrics adjacent Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow". source
unsloth adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: Devin-AXIS/iPolloWork

Skill Tier What it adds Upstream
wechat-official-messages core Design safe WeChat follower-message automation and send customer-service text only when the user provides an explicit target and confirmation. source
github-publish-changes adjacent Publish intentional local changes by confirming scope, creating a branch when needed, staging selected files, committing, pushing, and creating a Draft Pull Request through the connected GitHub service. source

Source: FlorianBruniaux/claude-code-ultimate-guide

Skill Tier What it adds Upstream
security core Rapid security assessment focused on OWASP Top 10 vulnerabilities source
security-audit core Comprehensive security audit with scored posture assessment source
self-assessment core Interactive skill assessment with personalized learning path generation source

Source: foryourhealth111-pixel/Vibe-Skills

Skill Tier What it adds Upstream
unsloth adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: GarethManning/education-agent-skills

Skill Tier What it adds Upstream
explicit-instruction-sequence-builder core Build a complete explicit instruction sequence from teacher modelling through guided practice to independent work. Use when teaching new skills, procedures, or concepts through direct instruction. source
productive-failure-desirable-difficulty-designer core Redesign a direct instruction sequence to include productive struggle before the explanation phase. Use when teaching concepts that benefit from failure-first approaches. source
sheltered-instruction-lesson-modifier core Modify a lesson plan using SIOP sheltered instruction principles to support language learners across all four skills. Use when planning lessons for classes that include EAL students. source
checking-for-understanding-protocol-designer core Design a checking-for-understanding protocol with specific techniques for each lesson stage. Use when planning systematic comprehension checks during explicit or direct instruction. source
digital-worked-example-sequence core Create an interactive digital worked example sequence with fading for online or blended delivery. Use when building e-learning modules, LMS content, or app-based instruction. source
hinge-question-designer core Design a diagnostic hinge question that reveals whether students understand enough to move on. Use when planning key checkpoints mid-lesson during explicit or direct instruction. source
historical-thinking-strategy-modelling-guide core Design a teacher think-aloud that models historical thinking strategies with a specific document. Use when planning explicit strategy instruction or when students follow a protocol without understanding the underlying reasoning. source
productive-failure-protocol core Stage exploration before instruction on complex problems. The learner produces two attempted approaches before consolidation — which builds on those attempts, not from scratch. Use for genuinely hard problems where struggle produces deeper … source
instructional-coaching-conversation-guide core Generate a coaching conversation guide with questions, protocols, and follow-up actions for a teaching focus. Use when preparing for coaching sessions, mentoring, or peer feedback conversations. source
kud-knowledge-type-mapper core Classify curriculum content into Know, Understand, and Do categories to align teaching and assessment approaches. Use when planning units, writing objectives, or selecting assessment methods. source
ai-socratic-dialogue-designer core Design a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically. source
argument-structure-scaffold-generator core Generate argument structure scaffolds using Toulmin, PEEL, or CER frameworks for a specific claim or question. Use when teaching argumentative or analytical writing across any subject. source

Source: giuseppe-trisciuoglio/developer-kit

Skill Tier What it adds Upstream
memory-md-management core Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … source

Source: JasonColapietro/suede-creator-skills

Skill Tier What it adds Upstream
suede-offers adjacent Suede-affiliated offer design for value framing, bonuses, guarantees, risk reversal, honest scarcity, naming, and payment structure. Use when the user is building or diagnosing a service, course, coaching, information-product, agency, or … source

Source: jeremylongshore/claude-code-plugins-plus-skills

Skill Tier What it adds Upstream
scorecard-marketing core Build quiz and assessment funnels that generate qualified leads at 30-50% conversion. Use when the user mentions "quiz funnel", "scorecard", "lead magnet", "score-based segmentation", or "lead qualification". Also trigger when designing … source
speak-data-handling core Handle student audio data, assessment records, and learning progress with GDPR/COPPA compliance. Use when implementing data handling, or managing Speak language learning platform operations. Trigger with phrases like "speak data handling", … source

Source: kgraph57/mckinsey-style-visualization-skill

Skill Tier What it adds Upstream
strategy-consulting-visualization adjacent Use when turning any content into clear, professional visualizations - board slides, reports, proposals, research summaries, training materials, technical diagrams, infographics, process flows, timelines, benchmarks, waterfall charts, or … source

Source: ljagiello/ctf-skills

Skill Tier What it adds Upstream
ctf-pwn adjacent Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as … source
ctf-ai-ml adjacent Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning … source

Source: luongnv89/claude-howto

Skill Tier What it adds Upstream
lesson-quiz core Test a learner on a single Claude Code tutorial lesson (01-10) with 10 questions, scoring answers and flagging weak spots. Use before, during, or after a lesson. Don't use for whole-tutorial assessment or explaining a topic instead of … source
self-assessment core Comprehensive Claude Code self-assessment and learning path advisor. Runs a multi-category quiz covering 10 feature areas, produces a detailed skill profile with per-topic scores, identifies specific gaps, and generates a personalized … source

Source: mcollina/skills

Skill Tier What it adds Upstream
skill-optimizer core Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context … source

Source: microsoft/power-platform-skills

Skill Tier What it adds Upstream
add-ai-webapi adjacent Integrates Power Pages generative-AI summarization APIs (PREVIEW) into a Single Page Application (SPA) site — the Search Summary API and the Data Summarization API — on any record-detail or list page. Generates per-target service code … source

Source: mohitagw15856/pm-claude-skills

Skill Tier What it adds Upstream
teaching-lesson-plan core Design a structured lesson plan for any subject, audience, or format. Use when asked to write a lesson plan, course outline, teaching session, workshop curriculum, or training module. Produces a complete lesson plan with learning … source
lesson-plan core Build a complete, standards-aligned lesson plan with clear objectives, a timed activity sequence, differentiation, and assessment. Use when asked to write a lesson plan, plan a class or lesson, design a teaching session, or structure … source
student-feedback core Write constructive, specific feedback on student work that motivates and tells the student exactly how to improve. Use when asked to give feedback on a student's work, write grading comments, respond to an essay or assignment, or coach a … source
quiz-generator core Generate a quiz or test on any topic with a balanced mix of question types and difficulty, plus a complete answer key with explanations. Use when asked to create a quiz, write a test, make practice questions, or build an assessment. … source

Source: muratcankoylan/Agent-Skills-for-Context-Engineering

Skill Tier What it adds Upstream
reasoning-trace-optimizer core Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions. source

Source: nexu-io/open-design

Skill Tier What it adds Upstream
html-ppt-testing-safety-alert core A hospital data-governance briefing: patient-data risk, the control framework, accountability, and the approval the board must give. Built as a decision-grade policy briefing deck for health-system board, regulators. source
creative-director core AI creative director with recursive self-assessment: 20+ methodologies (SIT, TRIZ, Bisociation, SCAMPER, Synectics), 3-axis evaluation calibrated against Cannes/D&AD/HumanKind, 5-phase process from brief to presentation. source
html-ppt-zhangzara-daisy-days adjacent A customer-success workshop onboarding users to a project-management app — the first-value path and the habits that retain. Built as a decision-grade professional training deck for new customers, CS team. source
eng-runbook adjacent An engineering runbook — service overview, alerts table, dashboards links, common procedures with copy-pasteable commands, on-call rotation, and an incident-response checklist. Use when the brief mentions "runbook", "ops doc", "on-call … source
html-ppt-zhangzara-retro-windows adjacent An IT security-awareness training on spotting phishing — the tells, the drill, and what to do in the first 60 seconds. Built as a decision-grade professional training deck for all employees. source

Source: OpenRaiser/NanoResearch

Skill Tier What it adds Upstream
unsloth adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: OpenSenseNova/SenseNova-Skills

Skill Tier What it adds Upstream
outlier-detection-and-quality-assessment core 执行全面的异常值检测与数据质量评估,利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征,适用于非正态分布数据的预处理阶段。 source

Source: Orchestra-Research/AI-research-SKILLs

Skill Tier What it adds Upstream
pytorch-fsdp2 adjacent Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … source
gptq adjacent Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
optimizing-attention-flash adjacent Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
quantizing-models-bitsandbytes adjacent Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
unsloth adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: pedrohcgs/claude-code-my-workflow

Skill Tier What it adds Upstream
syllabus core Build or restructure a course syllabus from a topic list or reading list — course description + prerequisites, week-by-week schedule (topic → readings → deliverables), measurable learning objectives, an assessment scheme + rubric, standard … source

Source: rampstackco/claude-skills

Skill Tier What it adds Upstream
quiz-and-assessment-design core Designing quizzes, personality assessments, and recommendation tools that segment users into actionable categories rather than generating clicks for clicks' sake. Question architecture, scoring algorithms, result categorization, … source

Source: RoundTable02/tutor-skills

Skill Tier What it adds Upstream
tutor core Interactive quiz tutor for Obsidian StudyVault learning. Use when the user wants to: (1) Take a diagnostic assessment of their knowledge, (2) Study or review specific sections/topics, (3) Drill weak areas identified in previous sessions, … source

Source: ruvnet/claude-code-flow

Skill Tier What it adds Upstream
Hooks Automation adjacent Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … source
V3 Memory Unification adjacent Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). source

Source: ruvnet/ruflo

Skill Tier What it adds Upstream
Hooks Automation adjacent Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … source

Source: samber/cc-skills-golang

Skill Tier What it adds Upstream
golang-security core Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … source

Source: wondelai/skills

Skill Tier What it adds Upstream
scorecard-marketing core Build quiz and assessment funnels that generate qualified leads at 30-50% conversion. Use when the user mentions "quiz funnel", "scorecard", "lead magnet", "score-based segmentation", or "lead qualification". Also trigger when designing … source

Source: yaojingang/yao-meta-skill

Skill Tier What it adds Upstream
incident-command-governor core Build governed incident command packets. Use when asked to standardize incident review, run severity assessment, or assemble incident communication. source

Source: zechenzhangAGI/AI-research-SKILLs

Skill Tier What it adds Upstream
pytorch-fsdp2 adjacent Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … source
gptq adjacent Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
optimizing-attention-flash adjacent Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
quantizing-models-bitsandbytes adjacent Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
unsloth adjacent Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: zxkane/aws-skills

Skill Tier What it adds Upstream
aws-agentic-ai adjacent AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, … source