hr-training-development

hr-training-development is a skill for Claude Code, Codex from tuanductran/hr-skills. It costs 69 tokens per session (1,097 once invoked), scanned A, original, MIT.

A learning-and-development guide for finding skill needs and creating training, coaching, mentoring, competency, and career programs.

In plain words
What is it for?
Use it to conduct training-needs assessments, create courses and e-learning, design mentorship or coaching programs, write learning objectives, and build competency models.
Why use it?
It helps teams connect employee development to actual skill gaps and organize learning into measurable plans.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to conduct training-needs assessments, create courses and e-learning, design mentorship or coaching programs, write learning objectives, and build competency models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tuanductran/hr-skills/hr-training-development
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tuanductran/hr-skills --skill hr-training-development
Clone the repo
git clone --depth 1 https://github.com/tuanductran/hr-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin hr-training-development/plugin install hr-training-development after adding the marketplace above.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hr-training-development

README.md
[![agentmods](https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-training-development/github.svg)](https://agentmods.dev/skills/tuanductran/hr-skills/hr-training-development)
Your own site
<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-training-development"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-training-development/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hr-training-development

Your own site · 80×15
<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-training-development"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-training-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,097 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.01097
Opus 5 $0.00034 $0.00549
Sonnet 5 $0.00014 $0.00219
Haiku 4.5 $0.00007 $0.00110

Measured 5d ago against content hash d3a9d2a9649e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hr-training-development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hr-training-development/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HR training and development

Comprehensive learning and development support — from needs assessments and training design to e-learning, coaching programs, mentorship, competency models, and learning assessments.

Supported tasks

  • Conducting learning needs assessments
  • Creating and designing training materials and e-learning courses
  • Developing coaching and mentorship programs
  • Writing competency models and career development plans
  • Designing on-the-job and blended learning experiences
  • Developing microlearning modules and gamified training
  • Conducting train-the-trainer sessions
  • Writing performance review templates and learning objectives
  • Creating employee handbooks and orientation materials
  • Developing digital badges and credentials programs

Key prompts

Needs assessment

  1. "How should I conduct a learning needs assessment for [department/role] to identify the most critical skill gaps?"
  2. "What questions should be included in a training needs analysis survey for [team/function]?"
  3. "How can I use performance data and manager input to prioritize training investments?"
  4. "What are the key steps to conducting a thorough organizational training needs assessment?"

Training design and materials

  1. "Create a training outline for [topic] for [audience, for example, new managers, customer service reps, sales team]."
  2. "What are the key components of effective training materials for [subject area]?"
  3. "How should I design an engaging on-the-job training experience for [role]?"
  4. "Write learning objectives for a training program on [topic] using Bloom's Taxonomy."
  5. "How can I create training materials that accommodate different learning styles (visual, auditory, kinesthetic)?"
  6. "Design a gamified training experience for [topic] that increases learner engagement and knowledge retention."

E-Learning and digital learning

  1. "How should I design an e-learning course on [topic] that is engaging and effective for remote learners?"
  2. "What are best practices for developing microlearning modules on [topic] for busy employees?"
  3. "How can I create a blended learning strategy that combines online and in-person training for [program]?"
  4. "What platforms and tools are best suited for delivering [type of training] to our workforce?"
  5. "How can virtual reality training simulations be used to train employees on [high-risk/complex task]?"
  6. "How should I develop digital badges and credentials to recognize learning achievement?"

Read the full file on GitHub · 86 lines

Files

What ships with it

28 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 86 lines · 69 tokens per session scan A d3a9d2a9649e

Subscribe to this mod's changes

hr-training-development is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 1,097 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens