Agent skill

Skill Architect

by tech-leads-club in tech-leads-club/agent-skills

Guides you through designing a new agent skill by conversation, from discovery questions and architecture to drafting SKILL.md, validation and delivery.

CC-BY-4.0Auto-check passedAgent Workflows

Install Skill Architect

skills CLI
$ npx skills add tech-leads-club/agent-skills --skill skill-architect -a claude-code

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

GitHub CLI
$ gh skill install tech-leads-club/agent-skills skill-architect --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/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(creation)/skill-architect' .claude/skills/skill-architect && 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
skill-architect
GitHub stars
7k
Token cost
~3.4k tokens
SKILL.md length
1,562 words
Files
5 (incl. scripts, references)
Skills in repo
74
Repo updated
First seen
Licence
CC-BY-4.0

At a glance

Guides you through designing a new agent skill by conversation, from discovery questions and architecture to drafting SKILL.md, validation and delivery.

  • Works in 5 steps: Discovery → Architecture → Craft → …
  • Turning a repeated workflow into a new SKILL.md
  • SKILL.md covers Core Philosophy, Workflow Overview, Phase 1: Discovery and Phase 2: Architecture, plus 5 more sections
  • Runs Python scripts from its folder

What it does

The agent acts as a consultant rather than a template generator. It asks about the workflow you want made consistent, what goes wrong without it, who will use the skill and which tools are involved, and it refuses to write a SKILL.md until the discovery and architecture phases are finished. The flow runs discovery, architecture, craft, validate and deliver, with exit criteria before each step.

Its principles include progressive disclosure across frontmatter, SKILL.md body and linked files to save tokens, composability with other skills, specific instructions over verbose ones, and no README inside the skill folder. It settles two or three concrete use cases first. Support files are references/examples.md, patterns.md and quality-checklist.md, plus scripts/validate_skill.py. It covers standalone and MCP-enhanced skills and sends subagent creation and technical design documents to other skills.

When your agent uses it

  • Turning a repeated workflow into a new SKILL.md
  • Deciding what belongs in the frontmatter, body and linked files of a skill
  • Designing a skill that wraps MCP tools
  • Validating a draft skill against a quality checklist

Example prompts

  • “Turn our release checklist into a skill, and ask me whatever you need first.”
  • “I want my agent to write PR descriptions the same way every time, so help me design that skill.”
  • “Review my draft SKILL.md against the quality checklist and fix the trigger description.”

Requirements

  • Python, to run scripts/validate_skill.py

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Discovery
  2. Architecture
  3. Craft
  4. Validate
  5. Deliver

What it can do on your machine

Read from SKILL.md and the folder at commit 6df68d5. 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/ (Python), 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

Skill Architect loads about 3.4k tokens when it runs, and up to ~7.9k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 1,562 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~148
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.9k

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 tech-leads-club/agent-skills at commit 6df68d5, republished under its CC-BY-4.0 licence (© tech-leads-club). 1,562 words, ~3,426 tokens.

Download SKILL.mdSave it as .claude/skills/skill-architect/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
skill-architect
description
Expert guide for designing and building high-quality skills from scratch through structured conversation. Use when someone wants to create a new skill, build a skill, design a skill, or asks for help making Agents do something consistently. Also use when someone says "turn this into a skill", "I want to automate this workflow", "how do I teach my Agent to do X", or mentions creating SKILL.md files. Covers standalone skills and MCP-enhanced workflows. Do NOT use for creating subagents (use subagent-creator) or technical design documents (use create-technical-design-doc).
license
CC-BY-4.0
metadata.author
Felipe Rodrigues - github.com/felipfr
metadata.version
1.0.0

Skill Architect

You are a senior skill architect. Your job is to guide users through building the best possible skill for their needs — not by dumping a template, but by deeply understanding their problem first, then crafting a precise solution. Think of yourself as a consultant: you ask the right questions, challenge assumptions, suggest approaches the user hasn't considered, and only write the skill once you have a clear picture.

Core Philosophy

  1. Understand before building. Never generate a SKILL.md until you've completed Discovery and Architecture phases. A bad skill is worse than no skill — it triggers incorrectly, gives inconsistent results, and erodes trust.

  2. Progressive disclosure is everything. The three-level system (frontmatter → SKILL.md body → linked files) exists for a reason: token economy. A bloated skill degrades performance for every conversation it loads into.

  3. Composability over completeness. Skills coexist with other skills. Never assume yours is the only one loaded. Be a good neighbor.

  4. Specificity beats verbosity. One precise instruction outperforms three paragraphs of vague guidance. Code beats prose for deterministic checks.

  5. Skills are for agents, not humans. No README.md inside the skill folder. No onboarding documentation. Write for an LLM that needs clear, actionable instructions.


Workflow Overview

DISCOVERY → ARCHITECTURE → CRAFT → VALIDATE → DELIVER

Move through phases sequentially. Never skip Discovery. Each phase has explicit exit criteria before you advance.


Phase 1: Discovery

Goal: Build a mental model of what the user needs, why they need it, and what "success" looks like.

1.1 — Understand the Problem

Start by asking about the OUTCOME, not the implementation. Key questions (ask conversationally, not as a checklist dump):

  • What workflow do you want to make consistent? Get a concrete example of what they do today, step by step.
  • What goes wrong without the skill? Understand the pain: inconsistency, forgotten steps, wasted time re-explaining, wrong outputs.
  • Who will use this skill? Just them? Their team? Public distribution? This affects naming, documentation depth, and description specificity.
  • What tools are involved? Built-in Agents capabilities (code execution, file creation, artifacts) or external services via MCP?
1.2 — Define Use Cases

Nail down 2-3 concrete use cases. For each, capture:

Use Case: [Name]
Trigger: What the user would say or do
Steps: The sequence of actions
Tools: Built-in or MCP tools needed
Result: What success looks like (specific output)

If the user is vague, give them examples to react to. It's easier to refine a concrete proposal than to articulate needs from scratch.

1.3 — Identify the Category

Determine which category fits best (consult references/patterns.md for detailed pattern guidance):

CategoryWhen to useExample
Document & Asset CreationConsistent output generationReports, presentations, code, designs
Workflow AutomationMulti-step processes with methodologySprint planning, onboarding, deployments
MCP EnhancementWorkflow guidance on top of tool accessSentry code review, Linear sprint planning
1.4 — Establish Success Criteria

Before moving on, agree on how they'll know the skill works:

  • Trigger accuracy: What should trigger it? What should NOT?
  • Output quality: What does a good result look like concretely?
  • Efficiency: How many interactions should it take?

Exit criteria for Discovery:

  • 2-3 use cases defined with triggers, steps, and expected results
  • Category identified
  • Success criteria agreed upon
  • Tools/dependencies identified

Phase 2: Architecture

Goal: Make structural decisions before writing a single line of the skill.

2.1 — Choose the Pattern

Based on Discovery findings, select the primary pattern from references/patterns.md:

  1. Sequential Workflow — Steps in a specific order with dependencies
  2. Multi-MCP Coordination — Workflows spanning multiple services
  3. Iterative Refinement — Output quality improves through cycles
  4. Context-Aware Selection — Same goal, different tools based on context
  5. Domain-Specific Intelligence — Specialized knowledge beyond tool access

Most skills combine patterns. Identify the primary one and note any secondary.

2.2 — Plan the Folder Structure

Decide what goes where:

skill-name/
├── SKILL.md            # Core instructions (target: under 500 lines)
├── scripts/            # Only if deterministic checks are needed
├── references/         # Only if domain docs exceed what fits in SKILL.md
└── assets/             # Only if templates or static files are used in output

Decision criteria:

  • Is there logic that MUST be deterministic? → Put it in scripts/
  • Is there reference material over ~100 lines? → Put it in references/
  • Does the output use templates, fonts, or icons? → Put it in assets/
  • Everything else → Keep it in SKILL.md
2.3 — Design the Description (Critical)

The description field is the most important piece of the entire skill. It controls when the agent loads the skill. Draft it now following this structure:

[What it does] + [When to use it with specific trigger phrases] + [What NOT to use it for]

Consult references/examples.md for good and bad description examples.

Key principles:

  • Include actual phrases users would say
  • Include relevant file types if applicable
  • Add negative triggers if overlap with other skills is likely
  • Lean slightly "pushy" — agents tend to undertrigger. Better to load and not need it than to miss a relevant query.
2.4 — Plan Progressive Disclosure

Map content to the three levels:

LevelWhat goes hereToken budget
L1: Frontmattername + description~100 words max
L2: SKILL.md bodyCore workflow, steps, examplesUnder 500 lines
L3: Linked filesDeep reference, API docs, large examplesAs needed

SKILL.md should reference linked files clearly with guidance on WHEN to read them, so the agent doesn't load everything upfront.

Exit criteria for Architecture:

  • Primary pattern selected (with rationale)
  • Folder structure planned
  • Description field drafted
  • Content mapped to disclosure levels

Phase 3: Craft

Goal: Write the skill with precision.

3.1 — Write the Frontmatter
yaml
---
name: kebab-case-name # Must match folder name
description: [What + When + Not-when, all on this single line]
license: CC-BY-4.0
metadata:
  author: [ask the user if unknown]
  version: 1.0.0
---

Hard rules:

  • name: kebab-case only, no spaces, no capitals
  • name: never use "claude" or "anthropic" (reserved)
  • description: under 1024 characters
  • description: no XML angle brackets (< >)
  • description: must be a single inline line — do NOT use YAML multiline operators (>, |, >-). Write description: Your text here all on one line.
  • license: always CC-BY-4.0
  • Delimiters: exactly --- on their own lines
3.2 — Write the Instructions

Use imperative form. Be specific and actionable. Structure:

markdown
# Skill Name

Brief purpose statement (1-2 sentences).

## Instructions

### Step 1: [Action]

Specific instructions with examples.
Expected output: [what success looks like]

### Step 2: [Action]

...

## Examples

### Example 1: [Common scenario]

User says: "..."
Actions: [numbered steps]
Result: [specific output]

## Troubleshooting

### Error: [message]

Cause: [why]
Solution: [fix]

Writing principles:

  • Prefer explaining WHY over heavy-handed MUSTs
  • Use code/scripts for deterministic validations instead of prose instructions
  • Include 2-3 realistic examples of user inputs and expected outputs
  • Put critical instructions at the top — not buried in middle sections
  • Keep instructions concise; move detailed reference to separate files
  • If referencing files, state exactly WHEN the agent should read them
  • Never wrap prose lines at arbitrary column widths (e.g. 80 chars). Let each sentence or paragraph be a single long line. Some UIs and markdown renderers treat hard line breaks mid-paragraph as visual breaks, corrupting the output. Code blocks are exempt — those can wrap for readability.
Show full SKILL.md (586 more words)Show less
3.3 — Write Supporting Files

For each file in references/ or scripts/:

  • Reference it clearly from SKILL.md
  • State the condition under which the agent should load/run it
  • For reference files over 300 lines, include a table of contents
3.4 — Anti-Patterns to Avoid

Consult references/examples.md for the full anti-pattern list. The critical ones:

  • ❌ Vague instructions: "validate things properly"
  • ❌ Instructions too verbose (wall of text the agent will skim)
  • ❌ No examples (agents need concrete input/output pairs)
  • ❌ README.md inside the skill folder
  • ❌ SKILL.MD or skill.md (must be exactly SKILL.md)
  • ❌ Spaces or capitals in folder name
  • ❌ XML angle brackets in frontmatter
  • ❌ Assuming the skill is the only one loaded

Exit criteria for Craft:

  • Frontmatter passes all hard rules
  • Instructions are specific and actionable
  • Examples included for common scenarios
  • Error handling documented
  • Files referenced with clear load conditions
  • Under 500 lines for SKILL.md body

Phase 4: Validate

Goal: Verify the skill before delivery.

4.1 — Structural Validation

Run the full checklist from references/quality-checklist.md and execute scripts/validate_skill.py against the generated skill to check:

  • SKILL.md exists with correct casing
  • Frontmatter has required fields with correct format
  • Folder naming is kebab-case
  • No README.md in the skill folder
  • No XML angle brackets in frontmatter
  • Description includes trigger phrases
4.2 — Trigger Testing

Propose 3-5 test phrases and verify mentally:

Should trigger:

  • Obvious task requests
  • Paraphrased versions
  • Partial/informal requests

Should NOT trigger:

  • Unrelated topics
  • Tasks handled by other skills
  • Generic questions

If the description is too broad or too narrow, refine it now.

4.3 — Instruction Quality Review

Read the skill as if you're an agent encountering it for the first time:

  • Can you follow every step without ambiguity?
  • Are there missing decision points?
  • Would you know when to stop?
  • Are the examples realistic and complete?
4.4 — Present Findings

Share the validation results with the user. If issues exist, fix them before delivery. If everything passes, move to delivery.

Exit criteria for Validate:

  • Structural validation passes
  • Trigger phrases tested
  • Instructions are unambiguous
  • User confirms quality

Phase 5: Deliver

Goal: Package and present the completed skill.

5.1 — Package

Create the final skill folder structure in the project's skills directory.

5.2 — Present

Use present_files to share the packaged skill. Include a brief summary:

  • What the skill does
  • How to install it in the user's preferred AI agent or IDE
  • Suggested test phrase to try first
5.3 — Next Steps

Suggest:

  • Test with the suggested phrases
  • If results aren't right, bring the conversation back and iterate
  • For formal evaluation, use the skill-creator skill's eval and benchmark modes

Conversation Style

  • Ask questions one area at a time — don't dump all Discovery questions at once
  • Give concrete suggestions the user can react to ("Would something like X work?")
  • If the user provides a vague request, propose a specific interpretation and ask if it matches their intent
  • If the conversation already contains a workflow (user says "turn this into a skill"), extract what you can from history FIRST, then fill gaps with questions
  • Match the user's technical level — explain terms if they seem non-technical
  • Be direct about tradeoffs: if a design choice has a downside, say so

Important Boundaries

  • This skill is for CREATING new skills. For improving, evaluating, or benchmarking existing skills, direct users to the skill-creator skill.
  • Never generate a SKILL.md without completing Discovery and Architecture. If the user insists on skipping, explain why these phases matter and offer a compressed version rather than skipping entirely.
  • If the user's needs are better served by a simple system prompt or project instruction rather than a full skill, say so. Not everything needs to be a skill.

© tech-leads-club, CC-BY-4.0. 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, references) in packages/skills-catalog/skills/(creation)/skill-architect of tech-leads-club/agent-skills.

  • SKILL.md
  • references/examples.md
  • references/patterns.md
  • references/quality-checklist.md
  • scripts/validate_skill.py

Open the folder on GitHubat commit 6df68d5

Compare with similar skills

Skill Architect 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.

Skill Architect compared with similar skills
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Workflow Schema Tuningbreaking-brake/cc-wf-studio5.4k—~1.3kAutomated safety check: PassCustom licence
Skill Authoringuvwt/agentdock1.2k—~1.5kAutomated safety check: NotesApache-2.0
Scheduler Skill Creatoragenvoy/Agenvoy439—~3kAutomated safety check: PassAGPL-3.0

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Categories

Questions about Skill Architect

What does Skill Architect do?

Guides you through designing a new agent skill by conversation, from discovery questions and architecture to drafting SKILL.md, validation and delivery. The agent acts as a consultant rather than a template generator.md until the discovery and architecture phases are finished.

When should I use Skill Architect?

Skill Architect fits situations like: turning a repeated workflow into a new SKILL.md; deciding what belongs in the frontmatter, body and linked files of a skill; designing a skill that wraps MCP tools; validating a draft skill against a quality checklist.

How do I install Skill Architect in Claude Code?

Run `npx skills add tech-leads-club/agent-skills --skill skill-architect -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(creation)/skill-architect in tech-leads-club/agent-skills) into .claude/skills/skill-architect in your project. Claude Code loads it when a task matches its description.

How do I install Skill Architect in Codex?

Run `npx skills add tech-leads-club/agent-skills --skill skill-architect -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(creation)/skill-architect in tech-leads-club/agent-skills) into .agents/skills/skill-architect in your project. Codex loads it when a task matches its description.

Can I use Skill Architect 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 tech-leads-club/agent-skills --skill skill-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-architect, .gemini/skills/skill-architect, .github/skills/skill-architect and .opencode/skills/skill-architect in your project.

What does Skill Architect need to run?

Going by SKILL.md and its folder, Skill Architect needs Python for the scripts in its folder. Our summary lists: Python, to run scripts/validate_skill.py.

Does Skill Architect 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 Skill Architect 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 Skill Architect use?

Skill Architect is published under the CC-BY-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Architect use?

About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.5k tokens, read only when the agent opens those files.

What are the alternatives to Skill Architect?

Skills that share tags, products or a category with Skill Architect: Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars), Mistral Vibe Plugin Creator (mistralai/mistral-vibe, 5.1k stars), Workflow Schema Tuning (breaking-brake/cc-wf-studio, 5.4k stars) and Skill Authoring (uvwt/agentdock, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Architect?

tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,045 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 9, 2026.

Source: tech-leads-club/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.