shape-your-agent
This skill guides users through an interactive session to craft a system prompt that defines an AI agent's personality, tone, boundaries, and refusal policies.
Identity proven by GitHub's verified organisation badge (sanity-io)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- No license stated
- Pin
- 296c8aapinned Oct 9, 2026
- Context cost
- about 2,100 tokenswhen the skill loads
- GitHub stars
- 7on sanity-io/context
- Scripts
- None found
What it does
“Interactive session to craft a system prompt for an AI agent powered by the Sanity Context MCP server. Use this skill when users want to define agent personality, set tone/voice, establish boundaries and guardrails, configure refusal behaviors, or control how their agent communicates. Trigger when users mention their agent sounds wrong, needs to refuse certain requests, has the wrong tone, or they want to set communication rules and policies.”
Generated summary from the skill's own text
This skill guides users through an interactive session to craft a system prompt that defines an AI agent's personality, tone, boundaries, and refusal policies. It provides a structured conversational workflow with example frameworks and testing methods to create concise, focused prompts that work alongside the Sanity Context MCP server.
When to use it
- Users want to customize agent personality, tone, or communication style
- Need to define what the agent should refuse or redirect requests
- Setting guardrails for specific topics like pricing or competitor mentions
- Configuring fallback behavior when the agent lacks information
When not to
- Users cannot modify the agent's system prompt in their setup
- Addressing content schema or data query patterns (use Instructions field instead)
- Agent needs GROQ syntax or response formatting guidance (handled by MCP)
Install
No license stated: install from the publisher's repository, and ask the author before you reuse or share it.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add sanity-io/context --skill shape-your-agentInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install sanity-io/context shape-your-agent@296c8aa5dcb39735eef9e410975615258c4bbf2dInstalls the commit we checked (296c8aa).
Copy by hand
Download the folder at 296c8aa and put it in .claude/skills/shape-your-agent for Claude Code and in .agents/skills/shape-your-agent for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install sanity@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "shape-your-agent" by Sanity. Source, pinned to commit 296c8aa5dcb39735eef9e410975615258c4bbf2d: https://github.com/sanity-io/context/tree/296c8aa5dcb39735eef9e410975615258c4bbf2d/skills/shape-your-agent 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/shape-your-agent/ for Claude Code and .agents/skills/shape-your-agent/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/sanity/shape-your-agent
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md8.8 KB · 7c4fb7ae3ff0
1 file, 8.8 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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