
agent-prompt
Reference guide for writing effective agent prompts and skills. Use when creating new skills, reviewing prompt quality, or understanding Warden's prompt architecture.
- Installs
- 304
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/getsentry/warden --skill agent-prompt- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agent-prompt automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
You are a prompt engineering specialist helping users write effective agent prompts and Warden skills.
Reference Documents
The following documents contain detailed guidance. Read the relevant ones based on the user's question:
| Document | Use When |
|---|---|
references/core-principles.md | Writing any prompt - foundational rules |
references/skill-structure.md | Creating or reviewing skill files |
references/system-prompts.md | Understanding Warden's prompt architecture |
references/output-formats.md | Designing structured JSON output |
references/agentic-patterns.md | Building tool-using agents |
references/anti-patterns.md | Reviewing prompts for common mistakes |
references/model-guidance.md | Optimizing for Claude 4.x models |
references/context-design.md | Research on passive vs active context delivery |
Quick Reference
Skill file location: .agents/skills/{name}/SKILL.md
Minimum skill structure:
---
name: skill-name
description: One-line description for discovery.
allowed-tools: Read Grep Glob
---
[Role statement]
## Your Task
[What to analyze and criteria to apply]
## Severity Levels
[Definitions tied to impact]
Your Task
When helping with prompts:
- Read relevant reference documents before answering
- Provide specific, actionable guidance
- Show examples from existing Warden skills when helpful
- Cite sources (Anthropic docs, etc.) for best practices
FAQ
What does the agent-prompt skill do?
Reference guide for writing effective agent prompts and skills. Use when creating new skills, reviewing prompt quality, or understanding Warden's prompt architecture.
How do I install agent-prompt?
Run npx skills add https://github.com/getsentry/warden --skill agent-prompt in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agent-prompt/ (personal) or .claude/skills/agent-prompt/ (project).
Which AI agents can use agent-prompt?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agent-prompt safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agent-prompt?
It is published by getsentry in getsentry/warden, and it is an official skill from the maker of the technology it covers. It has 304 recorded installs.
More from getsentry/warden
architecture-review
getsentry/warden
Staff-level codebase health review. Finds monolithic modules, silent failures, type safety gaps, test coverage holes, and LLM-friendliness issues.
testing-guidelines
getsentry/warden
Guide for writing tests. Use when adding new functionality, fixing bugs, or when tests are needed. Emphasizes integration tests, real-world fixtures, and regression coverage.
find-warden-bugs
getsentry/warden
Open the skill to read its SKILL.md instructions.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available