acquiring-skills
Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a…
Guide for creating effective skills. Use when creating a new skill or updating an existing one that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations, whether a user asks for it or a reusable workflow is worth capturing.
Claude Code
$ npx -y skills add letta-ai/letta-code --skill creating-skills --agent claude-code
Codex
$ npx skills add letta-ai/letta-code --skill creating-skills -a codex -y
Cursor
$ npx skills add letta-ai/letta-code --skill creating-skills -a cursor -y
Gemini CLI
$ npx skills add letta-ai/letta-code --skill creating-skills -a gemini-cli -y
GitHub Copilot
$ npx skills add letta-ai/letta-code --skill creating-skills -a github-copilot -y
OpenCode
$ npx skills add letta-ai/letta-code --skill creating-skills -a opencode -y
Windsurf
$ npx skills add letta-ai/letta-code --skill creating-skills -a windsurf -y
name: creating-skills description: Guide for creating effective skills. Use when creating a new skill or updating an existing one that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations, whether a user asks for it or a reusable workflow is worth capturing.
This skill provides guidance for creating effective skills in Letta Code. For the complete official specification, see [agentskills.io](https://agentskills.io/specification).
Skills are modular, self-contained packages that extend Letta Code's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform a Letta Code agent from a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess.
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
The context window is a public good. Skills share the context window with everything else the Letta Code agent needs: system prompt, conversation history, other Skills' metadata, and the actual user request.
**Default assumption: the Letta Code agent is already very capable.** Only add context the Letta Code agent doesn't already have. Challenge each piece of information: "Does the Letta Code agent really need this explanation?" and "Does this paragraph justify its token cost?"
Prefer concise examples over verbose explanations.
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 the Letta Code agent as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).
Every skill consists of a required SKILL.md file and optional bundled resources:
processing-pdfs/
├── SKILL.md (required)
│ ├── YAML frontmatter metadata (required)
│ │ ├── name: (required, must match directory name)
│ │ └── description: (required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ - Executable code (TypeScript/Python/Bash/etc.)
├── references/ - Documentation intended to be loaded into context as needed
└── assets/ - Files used in output (templates, icons, fonts, etc.)Every SKILL.md in Letta Code consists of:
Executable code (TypeScript/Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.
Documentation and reference material intended to be loaded as needed into context to inform the Letta Code agent's process and thinking.
Files not intended to be loaded into context, but rather used within the output the Letta Code agent produces.
Letta Code is a stateful agent harness for creating agents that are more like people than tools. Letta Code agents have memory, identity, and a sense of experience over time.
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