Agent skill

Competency Builder

by jwynia in jwynia/agent-skills

Guide competency framework development and operation. An agent skill from jwynia/agent-skills.

MITAuto-check passed

Install Competency Builder

skills CLI
$ npx skills add jwynia/agent-skills --skill competency-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jwynia/agent-skills competency-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jwynia/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/general/education/competency .claude/skills/competency-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
competency-builder
GitHub stars
166
Token cost
~3.9k tokens
SKILL.md length
1,776 words
Files
5 (incl. scripts)
Skills in repo
112
Repo updated
First seen
Licence
MIT

At a glance

Guide competency framework development and operation. An agent skill from jwynia/agent-skills.

  • Works in 4 steps: Presents a realistic situation → Includes incomplete information → Requires judgment (not just recall) → …
  • Building training that produces capability
  • SKILL.md covers Core Principle, Diagnostic States, Diagnostic Process and Key Questions by Phase, plus 4 more sections
  • Runs TypeScript scripts from its folder

What it does

Competency Builder is an agent skill from jwynia/agent-skills. Guide competency framework development and operation. Use when building training that produces capability, when existing training doesn't produce competence, when structuring knowledge for multiple audiences, or when setting up feedback loops to surface gaps.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `scripts/scaffold.ts`, `templates/competency-definition.md` and `templates/progression-model.md`).

The licence is MIT.

When your agent uses it

  • Building training that produces capability
  • Existing training doesnt produce competence
  • Structuring knowledge for multiple audiences
  • Setting up feedback loops to surface gaps

Example prompts

  • “/competency-builder”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Presents a realistic situation
  2. Includes incomplete information
  3. Requires judgment (not just recall)
  4. Has better and worse responses (not binary right/wrong)

What it can do on your machine

Read from SKILL.md and the folder at commit e02ec7e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (TypeScript), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Competency Builder loads about 3.9k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 1,776 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jwynia/agent-skills at commit e02ec7e, republished under its MIT licence (© jwynia). 1,776 words, ~3,920 tokens.

Download SKILL.mdSave it as .claude/skills/competency-builder/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
competency-builder
description
Guide competency framework development and operation. Use when building training that produces capability, when existing training doesn't produce competence, when structuring knowledge for multiple audiences, or when setting up feedback loops to surface gaps.
license
MIT
metadata.author
jwynia
metadata.version
1.0
metadata.domain
competency
metadata.cluster
methodology
metadata.type
diagnostic
metadata.mode
assistive

Competency Builder Skill

Build and operate competency frameworks that produce capability—not just completion. Diagnose where competency development is stuck and guide the next step.

Core Principle

Competencies are observable capabilities, not knowledge states. If you can't watch someone demonstrate it, it's not a competency.


Diagnostic States

CF0: No Framework

Symptoms: Have training content but no competency structure. People complete training but can't apply it. Same questions keep getting asked.

Test:

  • What decisions do people need to make with this knowledge?
  • What mistakes indicate someone lacks competency?
  • Can you describe what a competent person can DO?

Intervention: Start with failure modes. List mistakes you've seen, questions that shouldn't need asking, things that take too long. Each failure mode suggests a competency that would prevent it.


CF1: Content-First Trap

Symptoms: Started by listing all the information people need to know. Training is comprehensive but competence is low. "We trained on that" but mistakes continue.

Test:

  • Can you describe what someone with this competency can DO?
  • What would you watch them do to verify competency?
  • Does each content piece connect to a specific competency?

Intervention: Reframe each content chunk as "what decision/action does this enable?" Kill orphan content that doesn't support a competency. Work backward from actions to required knowledge.


CF2: Vague Competencies

Symptoms: Competencies are knowledge states ("understands X") not capabilities ("can evaluate X against Y"). Can't tell if someone has the competency or not.

Test:

  • Could two people disagree about whether someone has this competency?
  • Can you observe it?
  • Does it start with "Can" + action verb?

Intervention: Rewrite each competency as observable behavior. Transform:

  • "Understands data policies" → "Can classify data according to policy categories"
  • "Knows the approval process" → "Can determine required approval level for a given case"
  • "Familiar with the tool" → "Can configure the tool to accomplish [specific task]"

CF3: No Scenarios

Symptoms: Competencies defined but no way to test them. Assessment is knowledge recall (quizzes, multiple choice). People pass but fail in real situations.

Test:

  • What realistic situation requires this competency?
  • Does assessment require judgment, or can it be answered by searching documentation?
  • What would a weak vs. strong response look like?

Intervention: For each core competency, create a scenario that:

  1. Presents a realistic situation
  2. Includes incomplete information
  3. Requires judgment (not just recall)
  4. Has better and worse responses (not binary right/wrong)

Create variants: interview (generic), assessment (org-specific), ongoing (real situations).


CF4: Simple Scenarios

Symptoms: Scenarios exist but have artificial clarity. All information needed is provided. There's an obvious "right answer." People pass but fail in messy real situations.

Test:

  • Do scenarios match the ambiguity of real situations?
  • Can scenarios be answered by looking up documentation?
  • Do scenarios require weighing trade-offs?

Intervention: Add ambiguity. Remove artificial clarity. Include information that might be relevant but isn't, and omit information that would make the answer obvious. Test with real people—if everyone gets the same answer immediately, it's too simple.


CF5: Single Audience

Symptoms: Everyone gets the same training. Specialists are bored by basics. Generalists are overwhelmed by detail. One-size-fits-none.

Test:

  • Who are your actual audiences?
  • What depth does each audience need?
  • Does a general employee need the same competencies as a specialist?

Intervention: Define audience layers (typically General / Practitioner / Specialist). Map competencies to audiences. Layer content by depth:

  • L1: Rules without extensive justification (what to do)
  • L2: Principles behind rules (how to handle edge cases)
  • L3: Full technical detail (how to verify, audit, configure)

CF6: No Progression

Symptoms: Competencies exist but no clear order. Prerequisites unclear. No skip logic. Everyone follows the same path regardless of prior knowledge.

Test:

  • Which competencies require others as foundation?
  • What's the minimum viable path for each role?
  • Can someone with prior knowledge skip parts?

Intervention: Map dependencies. Build progression tree:

Foundation (everyone)
├── Prerequisite competencies
├─► Intermediate (builds on foundation)
└─► Role-specific branches (parallel tracks)

Define skip logic: what evidence allows skipping which modules?


CF7: No Verification Stakes

Symptoms: Assessment exists but doesn't gate anything. People skip or game it. No consequence for demonstrating vs. not demonstrating competency.

Test:

  • What decision does verification inform?
  • What happens if someone fails assessment?
  • Is there a real consequence for "not demonstrated"?

Intervention: Connect each verification to a decision:

  • Hiring: Does candidate advance?
  • Onboarding: Ready to work independently?
  • Access: Qualified for elevated permissions?
  • Promotion: Has developed required competency?

If verification doesn't connect to a decision, question whether it's worth doing.


CF8: No Feedback Loop

Symptoms: Framework built once and never updated. Questions keep arising that weren't anticipated. No visibility into what's not working.

Test:

  • How do you know what's not working?
  • What mechanism surfaces gaps in training, framework, or process?
  • When did this framework last change based on feedback?

Intervention: Implement feedback loop:

  1. Agent/support system logs questions with context
  2. Tag questions by competency/content area (or "unmapped")
  3. Regular review for patterns
  4. Route fixes to owners (training team, policy owners, tooling)
  5. Track when patterns lead to changes

CF9: Static Framework

Symptoms: Framework was built months/years ago. Reality has changed but framework hasn't. Questions reveal framework doesn't match current state.

Test:

  • When was this last reviewed?
  • What triggers an update?
  • Who owns maintenance?

Intervention: Define:

  • Review triggers (policy changes, incidents, new tools, feedback patterns)
  • Ownership (who updates what)
  • Version tracking (people trained on V1 vs. V2)
  • Cadence (minimum review frequency even without triggers)

CF10: Framework Operational

Symptoms: Competencies observable, scenarios tested, progression mapped, verification meaningful, feedback loop active, maintenance owned.

Indicators:

  • Can answer all previous state questions affirmatively
  • New hires reach competence faster
  • Repeat questions decrease
  • Framework has evolved based on feedback data
  • Skip logic personalizes paths based on demonstrated competency

Diagnostic Process

When someone presents a competency development need:

  1. Identify current state — What exists? Training content? Competency list? Scenarios? Assessment?
  2. Apply state diagnosis — Match symptoms to states above
  3. Ask clarifying questions — What decisions do people make? What failures have you seen?
  4. Explain the diagnosis — Name the state and what's missing
  5. Recommend next step — Point to specific template or intervention
  6. Validate progress — Check if intervention resolved the state

Key Questions by Phase

For Competency Identification
  • What decisions do people need to make with this knowledge?
  • What mistakes indicate someone lacks this competency?
  • What would you watch someone do to verify competency?
  • What's the failure mode this competency would prevent?
For Scenario Design
  • What realistic situation requires this judgment?
  • What information would be incomplete or ambiguous?
  • What would a weak response miss?
  • What distinguishes competent from exceptional?
Show full SKILL.md (724 more words)Show less
For Audience Mapping
  • Who needs full depth? Who needs rules only?
  • Can the same content serve multiple audiences at different depths?
  • What's minimum viable competency for each role?
For Verification Design
  • What decision does this verification inform?
  • What evidence types are appropriate (scenario response, artifact, observed behavior)?
  • What distinguishes "partial" from "competent" from "strong"?
For Feedback Loops
  • What questions do people ask after training?
  • Which questions indicate training gaps vs. framework gaps vs. process gaps?
  • Who receives the signal? Who decides on fixes?

Anti-Patterns

PatternProblemFix
Document DumpConverting existing documentation into "training" without restructuringIdentify decisions documentation supports. Build backward from decisions to content.
Quiz FallacyAssessing competency with knowledge recall questionsReplace with scenarios requiring judgment. Can't answer by ctrl+F.
Universal TrainingOne training for all audiencesLayer content. Define minimum viable competency per role.
Orphan ScenarioScenario doesn't map to any defined competencyEither add the competency it tests, or cut the scenario.
Orphan ContentContent doesn't support any competencyEither identify the competency it serves, or cut the content.
Checkbox Completion"Completed training" without demonstrated competencyTie completion to demonstrated competency, not time spent.
Perfect on PaperFramework exists but isn't used; training continues as beforePilot with real people. Get feedback. Iterate.
Build-OnceFramework created, never updatedDefine triggers, owners, cadence for maintenance.

Templates

Competency Definition Template
markdown
## [Cluster Name] Competencies

| ID | Competency | Description |
|----|------------|-------------|
| [PREFIX]-1 | [Action verb phrase] | [Observable capability starting with "Can..."] |
Scenario Template
markdown
### Scenario: [Name]

**Core decision structure:** [What judgment is being tested]

**Interview variant:**
> [Generic situation]

**Assessment variant:**
> [Organization-specific situation]

**Competencies assessed:** [IDs]

**What good looks like:**
- [Consideration]

**Red flags:**
- [Weak response indicator]
Progression Template
Foundation (Role: Everyone)
├── [COMP-1]: [Name]
└── [COMP-2]: [Name]

├─► Intermediate (Role: [Role])
│   ├── [COMP-3]: [Name] (requires: COMP-1)
│   └── [COMP-4]: [Name] (requires: COMP-2)

└─► Specialist (Role: [Role])
    └── [COMP-5]: [Name] (requires: COMP-3, COMP-4)
Feedback Loop Template
markdown
## Feedback Loop Design

**Observation mechanism:**
- How questions are logged
- What context is captured
- How they're tagged to competencies

**Analysis cadence:** [frequency]

**Pattern categories:**
- Training gap: [who handles]
- Framework gap: [who handles]
- Process gap: [who handles]
- Tooling gap: [who handles]

**Change tracking:**
- How changes are documented
- How effectiveness is measured

Minimum Viable Framework

If starting small:

  1. 3-5 core competencies — the ones that matter most
  2. 2-3 scenarios — interview + assessment variants covering core competencies
  3. One layer of content — probably L2 (practitioner depth)
  4. Basic rubric — not demonstrated / partial / competent / strong
  5. One feedback signal — what questions do people ask after training?

Expand based on what you learn from using it.


Output Persistence

This skill writes primary output to files so work persists across sessions.

Output Discovery

Before doing any other work:

  1. Check for context/output-config.md in the project
  2. If found, look for this skill's entry
  3. If not found or no entry for this skill, ask the user first:
    • "Where should I save output from this competency-builder session?"
    • Suggest: explorations/competency/ or a sensible location for this project
  4. Store the user's preference:
    • In context/output-config.md if context network exists
    • In .competency-builder-output.md at project root otherwise
Primary Output

For this skill, persist:

  • Diagnosed state - which competency framework state applies
  • Competency definitions - derived from failure modes
  • Scenario designs - test scenarios for each competency
  • Framework structure - progression model and dependencies
  • Feedback loop design - how gaps will be identified
Conversation vs. File
Goes to FileStays in Conversation
State diagnosisClarifying questions
Competency definitionsDiscussion of failure modes
Scenario templatesIteration on structure
Framework architectureReal-time feedback
File Naming

Pattern: {domain}-competency-{date}.md Example: ai-literacy-competency-2025-01-15.md

What This Skill Does NOT Do

  • Write training content — You help structure, they write content
  • Prescribe specific competencies — You help them discover theirs from failure modes
  • Assess whether existing training is "good" — You diagnose what's missing
  • Replace subject matter expertise — You provide methodology, they provide domain knowledge

Health Check Questions

During competency framework development, ask:

  1. Do all competencies describe observable capabilities (not knowledge states)?
  2. Does each scenario require judgment that can't be looked up?
  3. Is content layered appropriately for different audiences?
  4. Does verification connect to real decisions?
  5. Is there a mechanism to learn what's not working?
  6. Has the framework changed based on feedback?
  7. Can someone with prior knowledge skip parts?
  8. Does everyone follow the same path, or is it personalized?

Integration Points

SkillConnection
researchUse when building L3 content that requires domain expertise
framework-developmentRelated but distinct: frameworks capture knowledge; competency frameworks build capability
framework-to-mastraCompetency framework + feedback loop = deployable agent

Example Interaction

User: "We have a 40-page security policy. Everyone 'completes' the training but keeps making mistakes."

Diagnosis: CF1 (Content-First Trap)

Questions to ask:

  • What are the 3 most common mistakes people make after "completing" training?
  • What decisions do people make that require this knowledge?
  • When someone makes a mistake, what did they fail to recognize or do?

Guidance: "Each mistake suggests a competency gap. Let's work backward: if someone incorrectly handles sensitive data, the missing competency might be 'Can classify data according to organizational categories.' Once we have 3-5 competencies from failure modes, we'll design scenarios that test whether someone can actually apply the knowledge—not just recall it."


Source Framework

Derived from: references/competency-framework-development.md

© jwynia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in skills/general/education/competency of jwynia/agent-skills.

  • SKILL.md
  • scripts/scaffold.ts
  • templates/competency-definition.md
  • templates/progression-model.md
  • templates/scenario.md

Open the folder on GitHubat commit e02ec7e

Compare with similar skills

Competency Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Campaign Operations Knowledge Builderlimecloud/lime1.5k—~715Automated safety check: PassApache-2.0
Content Operations Knowledge Builderlimecloud/lime1.5k—~708Automated safety check: PassApache-2.0
Fal Trainnexu-io/open-design100k—~293Automated safety check: PassApache-2.0

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Questions about Competency Builder

What does Competency Builder do?

Guide competency framework development and operation. An agent skill from jwynia/agent-skills. Competency Builder is an agent skill from jwynia/agent-skills. Guide competency framework development and operation.

When should I use Competency Builder?

Competency Builder fits situations like: building training that produces capability; existing training doesnt produce competence; structuring knowledge for multiple audiences; setting up feedback loops to surface gaps.

How do I install Competency Builder in Claude Code?

Run `npx skills add jwynia/agent-skills --skill competency-builder -a claude-code`. Or copy the skill folder (skills/general/education/competency in jwynia/agent-skills) into .claude/skills/competency-builder in your project. Claude Code loads it when a task matches its description.

How do I install Competency Builder in Codex?

Run `npx skills add jwynia/agent-skills --skill competency-builder -a codex`. Or copy the skill folder (skills/general/education/competency in jwynia/agent-skills) into .agents/skills/competency-builder in your project. Codex loads it when a task matches its description.

Can I use Competency Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jwynia/agent-skills --skill competency-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competency-builder, .gemini/skills/competency-builder, .github/skills/competency-builder and .opencode/skills/competency-builder in your project.

What does Competency Builder need to run?

Going by SKILL.md and its folder, Competency Builder needs TypeScript for the scripts in its folder. Our summary lists: Node.js.

Does Competency Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Competency Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Competency Builder use?

Competency Builder is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Competency Builder use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Competency Builder?

Skills that share tags, products or a category with Competency Builder: Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), It Operations (davila7/claude-code-templates, 32k stars), Campaign Operations Knowledge Builder (limecloud/lime, 1.5k stars) and Content Operations Knowledge Builder (limecloud/lime, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competency Builder?

jwynia (a GitHub user) maintains it in jwynia/agent-skills, which has 166 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on February 24, 2026.

Source: jwynia/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.