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ict-help-desk-manager/references/ai-skills.md
skillfactor-pipeline d4d8b6a28b feat: ict-help-desk-manager skill package v0.1.0
2026-08-14 19:10:09 +02:00

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External AI agent skills — ict-help-desk-manager

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
skill-creator adjacent Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with … source
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
mcp-builder adjacent Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python … 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
claude-api adjacent Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a … source
webapp-testing adjacent Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. source

Source: obra/superpowers

Skill Tier What it adds Upstream
finishing-a-development-branch adjacent Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup source
subagent-driven-development adjacent Use when executing implementation plans with independent tasks in the current session source
test-driven-development adjacent Use when implementing any feature or bugfix, before writing implementation code source
brainstorming adjacent You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation. source
using-git-worktrees adjacent Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback source
dispatching-parallel-agents adjacent Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies source
executing-plans adjacent Use when you have a written implementation plan to execute in a separate session with review checkpoints source
receiving-code-review adjacent Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation source
requesting-code-review adjacent Use when completing tasks, implementing major features, or before merging to verify work meets requirements source
systematic-debugging adjacent Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes source
verification-before-completion adjacent Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always source
writing-plans adjacent Use when you have a spec or requirements for a multi-step task, before touching code source

Source: wshobson/agents

Skill Tier What it adds Upstream
application-performance-observability-engineer (agent) core Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance … source
application-performance-frontend-developer (agent) core Build React components, implement responsive layouts, and handle client-side state management. Masters React 19, Next.js 15, and modern frontend architecture. Optimizes performance and ensures accessibility. Use PROACTIVELY when creating … source
secrets-management core Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments. source
uv-package-manager core Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv. source
code-documentation-code-reviewer (agent) core Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with … source
slo-implementation core Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance. source
distributed-debugging-devops-troubleshooter (agent) core Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles … source
k8s-manifest-generator core Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing … source
multi-cloud-architecture core Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from … source
python-performance-optimization core Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance. source
python-testing-patterns core Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices. source
tdd-workflows-tdd-orchestrator (agent) core Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern … source

Source: alirezarezvani/claude-skills

Skill Tier What it adds Upstream
ceo-advisor core 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
cfo-advisor core Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning … source

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

Skill Tier What it adds Upstream
diverga-memory core Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트 source

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
it-operations core 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
google-cloud-onboarding core Guides developers through their first steps on Google Cloud, covering account creation, billing setup, project management, CLI installation, and deploying a first resource. source

Source: gooseworks-ai/goose-skills

Skill Tier What it adds Upstream
help-center-article-generator core Take support ticket clusters, FAQ patterns, product documentation, or feature specs and generate structured help center articles with step-by-step instructions, screenshot placeholders, troubleshooting sections, and related article links. … source
customer-story-builder core Take raw customer inputs — interview transcripts, survey responses, Slack quotes, support tickets, review excerpts — and generate a structured case study draft with problem/solution/result narrative, pull-quotes, metric callouts, and … source
voice-of-customer-synthesizer core Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and … source
ad-angle-miner core Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle … source

Source: infrasity-labs/dev-gtm-claude-skills

Skill Tier What it adds Upstream
customer-research core When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket … source

Source: jabrena/plinth

Skill Tier What it adds Upstream
804-regulations-eu-nis2 core Use when reviewing, designing, or modifying Java enterprise systems that may support essential or important entities, critical-sector services, managed service providers, supply-chain dependencies, or cybersecurity incident escalation … source
807-regulations-eu-digital-services-act core Use when reviewing, designing, or modifying Java enterprise systems that may support intermediary services, hosting services, online platforms, marketplaces, content moderation, recommender systems, advertising delivery, complaint … source

Source: jeffallan/claude-skills

Skill Tier What it adds Upstream
terraform-engineer core Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules, manage module versioning), state management (migrate backends, import existing resources, … source
cloud-architect core Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or … source

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

Skill Tier What it adds Upstream
clade-deploy-integration core Deploy Claude-powered applications to Vercel, Fly.io, and Cloud Run Use when working with deploy-integration patterns. with proper secrets management and streaming support. Trigger with "deploy anthropic", "claude production deploy", … source
replit-debug-bundle core Collect Replit diagnostic info for debugging deployments, workspace issues, and support tickets. Use when encountering persistent issues, preparing support tickets, or collecting system state for troubleshooting Replit problems. Trigger … source
adobe-debug-bundle core Collect Adobe debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Adobe API problems. Trigger with phrases like "adobe debug", … source
assemblyai-debug-bundle core Collect AssemblyAI debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for AssemblyAI problems. Trigger with phrases like … source
bamboohr-debug-bundle core Collect BambooHR debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for BambooHR API problems. Trigger with phrases like … source
brightdata-debug-bundle core Collect Bright Data debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Bright Data problems. Trigger with phrases like … source
canva-debug-bundle core Collect Canva Connect API debug evidence for troubleshooting and support. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Canva API problems. Trigger with phrases like "canva … source
clay-debug-bundle core Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Clay integration problems. Trigger with phrases like "clay … source
clerk-debug-bundle core Collect comprehensive debug information for Clerk issues. Use when troubleshooting complex problems, preparing support tickets, or diagnosing intermittent issues. Trigger with phrases like "clerk debug", "clerk diagnostics", "clerk support … source
coderabbit-debug-bundle core Collect CodeRabbit debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for CodeRabbit problems. Trigger with phrases like … source
cohere-debug-bundle core Collect Cohere debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Cohere API problems. Trigger with phrases like "cohere … source
customerio-debug-bundle core Collect Customer.io debug evidence for support tickets. Use when creating support requests, investigating delivery failures, or documenting integration issues. Trigger: "customer.io debug", "customer.io support ticket", "collect … source

Source: microsoft/skills

Skill Tier What it adds Upstream
azure-mgmt-applicationinsights-dotnet core Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: … source
azure-ai-projects-dotnet core Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. … source
azure-mgmt-fabric-dotnet core Azure Resource Manager SDK for Fabric in .NET. Use for MANAGEMENT PLANE operations: provisioning, scaling, suspending/resuming Microsoft Fabric capacities, checking name availability, and listing SKUs via Azure Resource Manager. Triggers: … source

Source: mohitagw15856/pm-claude-skills

Skill Tier What it adds Upstream
help-center-article core Write a help-center / knowledge-base article that actually resolves the issue and deflects tickets. Use when asked to write a help doc, KB article, FAQ entry, how-to, or support documentation. Produces a findable, skimmable article — … source

Source: mukul975/Anthropic-Cybersecurity-Skills

Skill Tier What it adds Upstream
implementing-ticketing-system-for-incidents core Implements an integrated incident ticketing system connecting SIEM alerts to ServiceNow, Jira, or TheHive for structured incident tracking, SLA management, escalation workflows, and compliance documentation. Use when SOC teams need … source
implementing-azure-defender-for-cloud core Implementing Microsoft Defender for Cloud to enable cloud security posture management, workload protection across VMs, containers, databases, and storage, configure security recommendations, and set up adaptive security controls with … source

Source: nexscope-ai/eCommerce-Skills

Skill Tier What it adds Upstream
product-review-analysis core Product review analysis and customer feedback intelligence. Pain point identification, praise pattern analysis, feature request extraction, sentiment analysis, and product improvement insights. Use when the user asks about review analysis, … source

Source: nexu-io/open-design

Skill Tier What it adds Upstream
research-decision-room core Turn messy user research notes, interviews, support tickets, surveys, and product context into an evidence-backed decision room: a single HTML artifact with an evidence ledger, theme map, confidence heatmap, opportunity matrix, decision … source

Source: rampstackco/claude-skills

Skill Tier What it adds Upstream
user-feedback-aggregation core Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that … source
discovery-research-synthesis core Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The … source

Source: robertguss/claude-skills

Skill Tier What it adds Upstream
app-review-analyzer core Systematically analyze app reviews for competitor research or own-app reputation management. Categorize reviews by sentiment and themes (bugs, missing features, UX complaints, pricing objections, praise, support issues), identify … source

Source: vibeeval/vibecosystem

Skill Tier What it adds Upstream
terraform-patterns core Module composition, state management, workspace strategy, provider versioning, and infrastructure-as-code best practices. source

Source: NVIDIA/skills

Skill Tier What it adds Upstream
tao-run-on-brev core Brev managed GPU instances with Docker support. Use when running TAO training, evaluation, or inference on Brev GPU instances, managing Brev deployments, or dispatching TAO jobs through the Brev CLI. Trigger phrases include "run on Brev", … source
tao-run-platform core TAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM, local Docker, Kubernetes). Use when the user wants to run TAO jobs through the SDK, get job tracking, S3 I/O wrapping, multi-node … source
physical-ai-infrastructure-setup-and-resilient-scaling core Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO … source
tao-analyze-gaps-visual-changenet core Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the data-services container (tao_toolkit.data_services from versions.yaml) directly via docker run … gap_analysis vcn_aoi … — picks the … source
mcore-run-on-slurm adjacent How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, … source
rag-perf adjacent Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use … source
launch-nemo-rl adjacent Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs. source
nemotron-retrieval-recipes adjacent Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron embed/rerank retrieval recipes. source
tao-run-deft-aoi adjacent Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining, and deployment gating until FAR / recall … source
amc-setup-calibration-stack adjacent Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API … source
cuopt-server-api-python adjacent cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API. source
deepstream-sop adjacent Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via … source