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External AI agent skills — lifeguard-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
training-curriculum-designer adjacent Design training curricula and learning paths for change initiatives with competency-based learning source
aiml-security adjacent AI/ML model security testing and adversarial research capabilities. Generate adversarial examples, test model robustness, perform model extraction attacks, test for data poisoning, analyze model fairness, and support ART framework … 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: alirezarezvani/claude-skills

Skill Tier What it adds Upstream
ceo-advisor adjacent Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … source
cross-eval adjacent /cs:cross-eval — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a … source

Source: AlpacaLabsLLC/skills-for-architects

Skill Tier What it adds Upstream
learn adjacent Guided, hands-on course teaching architects how to use Claude Code — six short modules, each built around an exercise on a bundled sandbox project (a fictional Brooklyn art museum expansion). Resumable across sessions via PROGRESS.md. Use … source
clean-downloads adjacent Propose and execute a cleanup of the user's Downloads folder — sort into subfolders by type and age, flag duplicates and large files. Always plan first, never delete. Use when the user runs /clean-downloads. 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: brycewang-stanford/Auto-Empirical-Research-Skills

Skill Tier What it adds Upstream
education-skills adjacent 7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools. 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
knowledge-distillation core Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. … source
code-review-excellence core Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. 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
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
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
ai-agents-architect adjacent Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. source
code-review adjacent Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review. source
context-window-management adjacent Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. source

Source: eigent-ai/eigent

Skill Tier What it adds Upstream
skill-security-auditor core Security auditing for code, configs, and infrastructure. Use when the user wants to audit or improve security: scan for vulnerabilities (SQL injection, XSS, command injection, path traversal), detect hardcoded secrets and credentials, … source

Source: FlorianBruniaux/claude-code-ultimate-guide

Skill Tier What it adds Upstream
talk-stage1-extract core Extracts and structures source material (articles, transcripts, notes) into a talk summary with narrative arc, themes, metrics, and gaps. Auto-detects REX vs Concept type. Use when starting a new talk from any source material or auditing … source
eval-hooks adjacent Audit Claude Code hooks defined in settings.json files for validity, performance safety, and correctness. Resolves each command against the filesystem, checks exit-code strategy for blocking hooks, flags missing timeouts, and reviews … source
git-worktree-remove adjacent Safely remove a git worktree with branch cleanup and safety checks source
plan-pipeline-validate adjacent 2-layer plan validation: instant structural checks + trigger-based specialist agents. Auto-fixes issues using ADRs and first principles. Every issue must be resolved before execution. 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: googleworkspace/cli

Skill Tier What it adds Upstream
recipe-create-classroom-course adjacent Create a Google Classroom course and invite students. source

Source: HeshamFS/materials-simulation-skills

Skill Tier What it adds Upstream
simulation-failure-triage adjacent First-response triage for cross-code (LAMMPS/VASP/QE/MOOSE) simulation failures: classifies the failure signature (nonconvergence, NaN/Inf, exploding energy, unstable timestep, pressure blow-up, missing potentials/pseudopotentials, memory … source

Source: hypnguyen1209/offensive-claude

Skill Tier What it adds Upstream
vulnerability-analysis core Use when auditing source code for vulnerabilities — drive CodeQL/Semgrep/Joern to taint untrusted data source-to-sink across injection, memory safety, deserialization/prototype-pollution, secrets/crypto/authz/race, and supply-chain risks source
engagement-memory adjacent Use when recalling prior techniques at recon/weaponize, or recording a confirmed finding at report — cross-engagement pattern memory ranked by impact source
ai-agent-redteam adjacent Use when red-teaming an agentic AI / LLM application — indirect & zero-click prompt injection, MCP tool poisoning, persistent memory poisoning, excessive-agency tool abuse, multi-turn jailbreaks, PyRIT/Garak/Promptfoo harnesses source

Source: indranilbanerjee/digital-marketing-pro

Skill Tier What it adds Upstream
media-plan adjacent Create a paid media plan. Use when: building media buy schedules, cross-channel budget allocation, or creative rotation calendars. source

Source: JasonColapietro/suede-creator-skills

Skill Tier What it adds Upstream
suede-social adjacent Suede-owned organic social strategy and content discipline. Use when planning platform mix, posts, threads, cross-platform calendars, repurposing, listening, engagement, or cadence for a founder or brand account. NOT FOR: … source

Source: jeffallan/claude-skills

Skill Tier What it adds Upstream
rust-engineer adjacent Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling … source

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

Skill Tier What it adds Upstream
clay-hello-world adjacent Send your first record to Clay and get enriched data back. Use when starting a new Clay integration, testing webhook setup, or verifying that enrichment columns are working. Trigger with phrases like "clay hello world", "clay example", … source
customerio-hello-world adjacent Create a minimal working Customer.io example. Use when learning Customer.io basics, testing SDK setup, or creating your first identify + track integration. Trigger: "customer.io hello world", "first customer.io message", "test … source
klingai-hello-world adjacent Create your first Kling AI video generation with a minimal working example. Use when learning Kling AI or testing your setup. Trigger with phrases like ''kling ai hello world'', ''first kling video'', ''klingai quickstart'', ''test … source
speak-hello-world adjacent Create your first Speak AI tutoring session with pronunciation feedback. Use when starting a new Speak integration, testing your setup, or learning basic language learning API patterns. Trigger with phrases like "speak hello world", "speak … source
apify-hello-world adjacent Run your first Apify Actor and retrieve results via apify-client. Use when starting a new Apify integration, testing connectivity, or learning the Actor call/dataset retrieval pattern. Trigger: "apify hello world", "apify example", "run an … source
clade-hello-world adjacent Send your first message to Claude using the Anthropic SDK. Use when starting a new Claude integration, testing your setup, or learning the Messages API basics. Trigger with phrases like "anthropic hello world", "claude api example", "first … source

Source: ljagiello/ctf-skills

Skill Tier What it adds Upstream
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 adjacent 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

Source: mcollina/skills

Skill Tier What it adds Upstream
skill-optimizer adjacent 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: 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

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

Skill Tier What it adds Upstream
book-sft-pipeline adjacent This skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction, style-transfer training, LoRA workflows, and model evaluation for voice replication. 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
html-ppt-course-module adjacent A first-30-days onboarding module for new hospitality hires — the behaviors, the practice, the checks, and the manager follow-up. Built as a decision-grade professional training deck for new hires, managers. 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
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
hps-bauhaus adjacent A visual-design fundamentals course for new brand designers — grid, type, color, and the exercises that build the eye. Built as a decision-grade professional training deck for junior designers, new hires. source
html-ppt-zhangzara-stencil-tablet adjacent A workplace-safety compliance review for a manufacturing regulator — findings, the evidence chain, and the corrective mandate. Built as a decision-grade policy briefing deck for regulator, plant leadership. source
hr-onboarding adjacent A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or … source

Source: open-gitagent/opengap

Skill Tier What it adds Upstream
wiki-lint adjacent Health-check the wiki for contradictions, stale claims, orphan pages, missing cross-references, and knowledge gaps. Use periodically or when the user says 'lint the wiki' or 'check wiki health'. source

Source: Orchestra-Research/AI-research-SKILLs

Skill Tier What it adds Upstream
knowledge-distillation core Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. … 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
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
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

Source: pedrohcgs/claude-code-my-workflow

Skill Tier What it adds Upstream
respond-to-eval core Turn student course evaluations (free-text + numeric) into an actionable teaching-improvement plan — the teaching analogue of /respond-to-referees. Clusters comments into themes, separates signal from noise, classifies each theme Keep / … source
teach-from-paper adjacent Turn a research paper into teaching materials — a lecture outline, the 3-5 results worth presenting (with intuition), a slide skeleton ready for /create-lecture, discussion questions, and a problem-set brief. Reads the paper end-to-end … 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

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: syahiidkamil/Software-Engineer-AI-Agent-Atlas

Skill Tier What it adds Upstream
learning-from-mistakes adjacent Record a hard-won engineering lesson after a bug or mistake is resolved. Use when a bug resisted ATLAS until Boss's guidance cracked it, or when a long debugging hunt ended in an aha moment worth never relearning. source

Source: trailofbits/skills

Skill Tier What it adds Upstream
c-review core Performs comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or … source
rust-review core Performs comprehensive Rust security review for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes. Use when auditing Rust crates, services, or … source

Source: WenyuChiou/agent-collab-skills

Skill Tier What it adds Upstream
agent-context-budget adjacent Use when multi-agent work risks context overflow, memory growth, noisy logs, oversized handoffs, cross-session continuation, or parallel Codex and Gemini execution. source

Source: zebbern/claude-code-guide

Skill Tier What it adds Upstream
cross-examine adjacent Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me". source

Source: zechenzhangAGI/AI-research-SKILLs

Skill Tier What it adds Upstream
knowledge-distillation core Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. … 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
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
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

Source: zxkane/aws-skills

Skill Tier What it adds Upstream
aws-cost-operations core AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when … source