openviking-memory
Recall and persist long-term memory through the OpenViking MCP tools. Use at the start of any substantive task (coding,…
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Claude Code
$ npx -y skills add volcengine/openviking --skill skill-creator --agent claude-code
Codex
$ npx skills add volcengine/openviking --skill skill-creator -a codex -y
Cursor
$ npx skills add volcengine/openviking --skill skill-creator -a cursor -y
Gemini CLI
$ npx skills add volcengine/openviking --skill skill-creator -a gemini-cli -y
GitHub Copilot
$ npx skills add volcengine/openviking --skill skill-creator -a github-copilot -y
OpenCode
$ npx skills add volcengine/openviking --skill skill-creator -a opencode -y
Windsurf
$ npx skills add volcengine/openviking --skill skill-creator -a windsurf -y
name: skill-creator description: Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
This skill provides guidance for creating effective skills.
Skills are modular, self-contained packages that extend the agent's capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform the 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 agent needs: system prompt, conversation history, other Skills' metadata, and the actual user request.
**Default assumption: the agent is already very smart.** Only add context the agent doesn't already have. Challenge each piece of information: "Does the 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 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:
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.)Every SKILL.md consists of:
Executable code (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 agent's process and thinking.
Files not intended to be loaded into context, but rather used within the output the agent produces.
A skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including:
The skill should only contain the information needed for an AI agent to do the job at
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
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