Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vitorandtxr-skill-creator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-creator
What's inside
- Skill name
skill-creator- Description
- Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
- License
- Apache-2.0
- Instructions
- 369 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- files: referenced but missing: scripts/rotate_pdf.py, references/finance.md, references/mnda.md, references/policies.md, references/api_docs.md
Files (9)
- LICENSE.txt
- SKILL.md
- base-skill.md
- output-patterns.md · references/
- workflows.md · references/
- quick_validate.cpython-311.pyc · scripts/__pycache__/
- init_skill.py · scripts/
- package_skill.py · scripts/
- quick_validate.py · scripts/
SKILL.md (first lines)
# Skill Creator
This skill provides guidance for creating effective skills.
## About Skills
Skills are modular, self-contained packages that extend Claude's capabilities by providing
specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific
domains or tasks—they transform Claude from a general-purpose agent into a specialized agent
equipped with procedural knowledge that no model can fully possess.
### What Skills Provide
1. Specialized workflows - Multi-step procedures for specific domains
2. Tool integrations - Instructions for working with specific file formats or APIs
3. Domain expertise - Company-specific knowledge, schemas, business logic
4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks
## Core Principles
### Concise is Key
The context window is a public good. Skills share the context window with everything else Claude needs: system prompt, conversation history, other Skills' metadata, and the actual user request.
**Default assumption: Claude is already very smart.** Only add context Claude doesn't already have. Challenge each piece of information: "Does Claude really need this explanation?" and "Does this paragraph justify its token cost?"
Prefer concise examples over verbose explanations.
### Set Appropriate Degrees of Freedom
Match the level of specificity to the task's fragility and variability:
**High freedom (text-based instructions)**: Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.
**Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.
**Low freedom (specific scripts, few parameters)**: Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.
Think of Claude as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).
### Anatomy of a Skill
Every skill consists of a required SKILL.md file and optional bundled resources:
```
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter metadata (required)
│ │ ├── name: (required)
│ │ └── description: (required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ - Executable code (Python/Bash/etc.)
├── references/ - Documentation intended to be loaded into context as needed
└── assets/ - Files used in output (templates, icons, fonts, etc.)
```
#### SKILL.md (required)
Every SKILL.md consists of:
- **Frontmatter** (YAML): Contains `name` and `description` fields. These are the only fields that Claude reads to determine when the skill gets used, thus it is very important to be clear and comprehensive in describing what the skill is, and when it should be used.
- **Body** (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers (if at all).
#### Bundled Resources (optional)
##### Scripts (`scripts/`)
Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.
- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed
- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks
- **Benefits**: Token efficient, deterministic, may be executed without loading into context
- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments
##### References (`references/`)
Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking.
- **When to include**: For documentation that Claude should reference while working
- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications
- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
- **Benefits**: Keeps SKILL.md lean, loaded only when Claude determines it's needed
- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md
- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.
##### Assets (`assets/`)
Files not intended to be loaded into context, but rather used within the output Claude produces.
- **When to include**: When the skill needs files that will be used in the final output
- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography
- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
- **Benefits**: Separates output resources from documentation, enables Claude to use files without loading them into context
#### What to Not Include in a Skill
A skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including:
- README.md
- INSTALLATION_GUIDE.md
- QUICK_REFERENCE.md
- CHANGELOG.md
- etc.
The skill should only contain the information needed for an AI agent to do the job at hand. It should not contain auxilary context about the process that went into creating it, setup and testing procedures, user-facing documentation, etc. Creating additional documentation files just adds clutter and confusion.
### Progressive Disclosure Design Principle
Skills use a three-level loading system to manage context efficiently:
1. **Metadata (name + description)** - Always in context (~100 words)
2. **SKILL.md body** - When skill triggers (<5k words)
3. **Bundled resources** - As needed by Claude (Unlimited because scripts can be executed without reading into context window)
#### Progressive Disclosure Patterns
Keep SKILL.md body to the essentials and under 500 lines to minimize context bloat. Split content into separate files when approaching this limit. When splitting out content into other files, it is very important to reference them from SKILL.md and describe clearly when to read them, to ensure the reader of the skill knows they exist and when to use them.From VitorAndTxr/omni-sw, Apache-2.0.
More from VitorAndTxr/omni-sw
- 0.414score
apply-progressive-disclosure
VitorAndTxr
Progressive Disclosure Optimizer — Analyze and restructure Claude Code configuration files (CLAUDE.md, skills, commands, agents) to minimize token consumption.
SkillDFreshness: DClaude Code +9 - 0.414score
backlog
VitorAndTxr
Backlog management system — Manages user stories as structured JSON with role-based access control, replacing markdown-based BACKLOG.md.
SkillDFreshness: DClaude Code +9 - 0.414score
project-map
VitorAndTxr
Multi-repository project mapping orchestrator.
SkillDFreshness: DClaude Code - 0.414score
orchestrator
VitorAndTxr
SDLC Orchestrator — Manages the full Software Development Agency workflow end-to-end.
SkillDFreshness: DClaude Code - 0.414score
repo-map
VitorAndTxr
Repository discovery and mapping tool that scans a root path, catalogs every project and sub-repository, and produces a navigable inventory with Mermaid…
SkillDFreshness: DClaude Code - 0.414score
api-doc-scraper
VitorAndTxr
Agentic web scraper that reads API documentation from a URL, extracts endpoints, authentication, models, and error handling into a structured corpus, then…
SkillDFreshness: DClaude Code - 0.409score
tl
VitorAndTxr
Tech Lead — Senior technical authority.
SkillDFreshness: DClaude Code +9 - 0.409score
dev
VitorAndTxr
Developer Specialist — Execution-focused engineer.
SkillDFreshness: DClaude Code +9 - 0.409score
init-omni-sw
VitorAndTxr
Project Setup for Omni-SW Agency — Configures a project directory with all base files and hooks required by the SDLC Agency plugin before the orchestrator can…
SkillDFreshness: DClaude Code +9 - 0.409score
pm
VitorAndTxr
Product Manager — Senior business strategist and agency's primary client interface.
SkillDFreshness: DClaude Code +9 - 0.409score
po
VitorAndTxr
Product Owner — Bridge between client and technical team.
SkillDFreshness: DClaude Code +9 - 0.409score
qa
VitorAndTxr
QA Specialist — Quality guardian.
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Feb 28, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/VitorAndTxr/omni-sw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from VitorAndTxr
- 0.414score
apply-progressive-disclosure
VitorAndTxr
Progressive Disclosure Optimizer — Analyze and restructure Claude Code configuration files (CLAUDE.md, skills, commands, agents) to minimize token consumption.
SkillDFreshness: DClaude Code +9 - 0.414score
backlog
VitorAndTxr
Backlog management system — Manages user stories as structured JSON with role-based access control, replacing markdown-based BACKLOG.md.
SkillDFreshness: DClaude Code +9 - 0.414score
project-map
VitorAndTxr
Multi-repository project mapping orchestrator.
SkillDFreshness: DClaude Code - 0.414score
orchestrator
VitorAndTxr
SDLC Orchestrator — Manages the full Software Development Agency workflow end-to-end.
SkillDFreshness: DClaude Code - 0.414score
repo-map
VitorAndTxr
Repository discovery and mapping tool that scans a root path, catalogs every project and sub-repository, and produces a navigable inventory with Mermaid…
SkillDFreshness: DClaude Code - 0.414score
api-doc-scraper
VitorAndTxr
Agentic web scraper that reads API documentation from a URL, extracts endpoints, authentication, models, and error handling into a structured corpus, then…
SkillDFreshness: DClaude Code
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- launches shipped
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- media placements
- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
skill-creator. Agent Mart. https://agentmart.dev/skills/vitorandtxr-skill-creator (last updated 2026-10-24)