Atomic can create skills. Ask it to build one for your use case.
Skills
Skills are self-contained capability packages that the agent loads on-demand. A skill provides specialized workflows, setup instructions, helper scripts, and reference documentation for specific tasks. Atomic implements the Agent Skills standard, warning about violations but remaining lenient.Table of Contents
- Locations
- How Skills Work
- Skill Commands
- Skill Structure
- Frontmatter
- Validation
- Example
- Skill Repositories
Locations
Security: Skills can instruct the model to perform any action and may include executable code the model invokes. Review skill content before use.Atomic loads skills from:
- Global:
~/.atomic/agent/skills/(legacy~/.pi/agent/skills/)~/.agents/skills/
- Project (only after the project is trusted):
.atomic/skills/(legacy.pi/skills/).agents/skills/incwdand ancestor directories (up to git repo root, or filesystem root when not in a repo)
- Packages:
skills/directories,atomic.skills, or legacypi.skillsentries inpackage.json - Settings:
skillsarray with files or directories - CLI:
--skill <path>(repeatable, additive even with--no-skills)
- In
~/.atomic/agent/skills/and.atomic/skills/(plus legacy~/.pi/agent/skills/and.pi/skills/), direct root.mdfiles are discovered as individual skills - In all skill locations, directories containing
SKILL.mdare discovered recursively - In
~/.agents/skills/and project.agents/skills/, root.mdfiles are ignored
--no-skills (explicit --skill paths still load).
Using Skills from Other Harnesses
To use skills from Claude Code or OpenAI Codex, add their directories to settings:.atomic/settings.json (legacy .pi/settings.json is also supported):
How Skills Work
- At startup, Atomic scans skill locations and extracts names and descriptions
- The system prompt includes available skills in XML format per the specification
- When a task matches, the agent uses
readto load the full SKILL.md (models don’t always do this; use prompting or/skill:nameto force it) - The agent follows the instructions, using relative paths to reference scripts and assets
Built-in prompt engineering guidance
The bundled/skill:prompt-engineer creates, optimizes, evaluates, and troubleshoots prompts for GPT-5.6, Claude Opus 5, and Claude Fable 5. It teaches a delete-first workflow: preserve outcomes, safety, permissions, evidence, output, and stopping contracts while removing repetition, generic self-checks, and obsolete process scaffolding. For autonomous prompts it recommends a compact Role · Goal · Success criteria · Constraints · Tools · Output · Stop rules shape, context-dependent tool routing, explicit effort and response-length controls, restrained delegation, grounded progress claims, and documents-first/query-last ordering for long inputs.
The skill no longer recommends response prefilling, which returns an error on Claude 4.6 and later, or visible chain-of-thought as a primary technique. Use explicit output instructions, schemas, tools, or post-processing instead of prefilling. Request conclusions, citations, commands, and observed results rather than reconstructed private reasoning; such requests can trigger Claude Fable 5’s reasoning_extraction safeguard and force a model fallback.
Skill Commands
Skills register as/skill:name commands:
User: <args>.
Toggle skill commands via /settings in interactive mode or in settings.json:
Skill Structure
A skill is a directory with aSKILL.md file. Everything else is freeform.
SKILL.md Format
ALWAYS/NEVER language. Put detailed or model-specific material in references/ so it loads only when needed. Do not ask models to reproduce private reasoning or repeatedly verify their own work; require evidence or validation results where correctness matters.
Frontmatter
Per the Agent Skills specification:Name Rules
- 1-64 characters
- Lowercase letters, numbers, hyphens only
- No leading/trailing hyphens
- No consecutive hyphens
- Must match parent directory name
pdf-processing, data-analysis, code-review
Invalid: PDF-Processing, -pdf, pdf--processing
Description Best Practices
The description determines when the agent loads the skill. Be specific. Good:Validation
Atomic validates skills against the Agent Skills standard. Most issues produce warnings but still load the skill:- Name doesn’t match parent directory
- Name exceeds 64 characters or contains invalid characters
- Name starts/ends with hyphen or has consecutive hyphens
- Description exceeds 1024 characters
Example
Skill Repositories
- Anthropic Skills - Document processing (docx, pdf, pptx, xlsx), web development
- Pi Skills - Upstream skill examples for web search, browser automation, Google APIs, and transcription