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senior-prompt-engineer

Prompt engineering workflow for building reliable assistants and agents: task decomposition, instruction hierarchy, tool-use patterns, safety constraints, and…

Skill by vadimcomanescu

IndexedMIT★ 25
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/vadimcomanescu-senior-prompt-engineer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Prompt engineering workflow for building reliable assistants and agents: task decomposition, instruction hierarchy, tool-use patterns, safety constraints, and evaluation design. Use when writing or refactoring system prompts, creating structured prompts, building prompt test suites, or debugging regressions in LLM behavior.

Use cases: design, testing, ml, writing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/senior-prompt-engineer

What's inside

Skill name
senior-prompt-engineer
Description
Prompt engineering workflow for building reliable assistants and agents: task decomposition, instruction hierarchy, tool-use patterns, safety constraints, and evaluation design. Use when writing or refactoring system prompts, creating structured prompts, building prompt test suites, or debugging regressions in LLM behavior.
License
MIT
Instructions
24 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (6)

  • LICENSE.txt
  • SKILL.md
  • eval-template.json · assets/
  • prompt-template.md · assets/
  • prompt-review.md · references/
  • scaffold_prompt_eval.py · scripts/

SKILL.md (first lines)

# Senior Prompt Engineer

Treat prompts like products: versioned, tested, and measurable.

## Quick Start
1) Define the job: inputs, outputs, and the “definition of done”.
2) Write the smallest prompt that:
   - states constraints clearly
   - defines output format
   - includes edge-case handling
3) Add examples only when needed (few-shot is expensive).
4) Create an eval set: representative cases + adversarial cases.
5) Iterate with diffs: change one thing, measure impact.

## Optional tool: scaffold a prompt + eval harness
```bash
python ~/.codex/skills/senior-prompt-engineer/scripts/scaffold_prompt_eval.py . --out evals/prompt_eval
```

## References
- Prompt review checklist: `references/prompt-review.md`

From vadimcomanescu/codex-skills, MIT.

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Signals

Stars
25
Forks
8
Open issues
2
Last commit (this folder)
Jan 19, 2026 (9 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from vadimcomanescu

Cite this page

senior-prompt-engineer skill. Agent Mart. https://agentmart.dev/skills/vadimcomanescu-senior-prompt-engineer (last updated 2026-10-24)