DSPy Language Model Programming
Orchestra-Research/AI-Research-SKILLs
Teaches an agent to build LM pipelines, RAG systems and agents in DSPy using signatures, modules and optimizers instead of hand-tuned prompts.
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
Install Senior Prompt Engineer
$ npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install maslennikov-ig/claude-code-orchestrator-kit senior-prompt-engineer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/senior-prompt-engineer .claude/skills/senior-prompt-engineer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "senior-prompt-engineer" agent skill from https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineer into .claude/skills/senior-prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "senior-prompt-engineer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install maslennikov-ig/claude-code-orchestrator-kit senior-prompt-engineer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/senior-prompt-engineer .agents/skills/senior-prompt-engineer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "senior-prompt-engineer" agent skill from https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineer into .agents/skills/senior-prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "senior-prompt-engineer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install maslennikov-ig/claude-code-orchestrator-kit senior-prompt-engineer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/senior-prompt-engineer .cursor/skills/senior-prompt-engineer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "senior-prompt-engineer" agent skill from https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineer into .cursor/skills/senior-prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "senior-prompt-engineer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git --path .claude/skills/senior-prompt-engineer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install maslennikov-ig/claude-code-orchestrator-kit senior-prompt-engineer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/senior-prompt-engineer .gemini/skills/senior-prompt-engineer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "senior-prompt-engineer" agent skill from https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineer into .gemini/skills/senior-prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "senior-prompt-engineer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install maslennikov-ig/claude-code-orchestrator-kit senior-prompt-engineerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/senior-prompt-engineer .github/skills/senior-prompt-engineer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "senior-prompt-engineer" agent skill from https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineer into .github/skills/senior-prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "senior-prompt-engineer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install maslennikov-ig/claude-code-orchestrator-kit senior-prompt-engineer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/maslennikov-ig/claude-code-orchestrator-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/senior-prompt-engineer .opencode/skills/senior-prompt-engineer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "senior-prompt-engineer" agent skill from https://github.com/maslennikov-ig/claude-code-orchestrator-kit/tree/main/.claude/skills/senior-prompt-engineer into .opencode/skills/senior-prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "senior-prompt-engineer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
senior-prompt-engineer- GitHub stars
- 260
- Used in
- 3 other repos
- Token cost
- ~1.4k tokens
- SKILL.md length
- 438 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 29
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
- Works in 3 steps: Prompt Engineering Patterns → Llm Evaluation Frameworks → Agentic System Design
- Optimizing a prompt for a production LLM feature
- SKILL.md covers Quick Start, Core Expertise, Tech Stack and Reference Documentation, plus 7 more sections
- Runs Python scripts from its folder; calls python, kubectl and docker
What it does
This skill packages three Python scripts - a prompt optimizer, a RAG evaluator, and an agent orchestrator - alongside three reference documents on prompt engineering patterns, LLM evaluation frameworks, and agentic system design. It frames its scope broadly across production AI and data systems, from prompt design through deployment and monitoring.
Each reference file is pointed to as the detailed guide for its topic: a prompt-engineering-patterns file for pattern selection, an llm-evaluation-frameworks file for step-by-step evaluation processes, and an agentic-system-design file for system design and deployment guidance. It also names three production patterns - scalable data processing, ML model deployment, and real-time inference - as areas it covers.
The scripts are invoked from the command line with input and output directory flags, for example running the prompt optimizer over a folder of inputs and writing results to an output folder.
When your agent uses it
- Optimizing a prompt for a production LLM feature
- Evaluating a RAG pipeline's retrieval and answer quality
- Designing the architecture for a multi-agent system
Example prompts
- “Run the prompt optimizer over my prompts in data/ and show the results.”
- “Evaluate this RAG pipeline's outputs with the bundled evaluator.”
- “Help me design the architecture for an agentic support system.”
Requirements
- Python
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Prompt Engineering Patterns
- Llm Evaluation Frameworks
- Agentic System Design
What it can do on your machine
Read from SKILL.md and the folder at commit 8c3b576. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonkubectldockerhelm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use kubectl, docker and helm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Senior Prompt Engineer loads about 1.4k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 438 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 438 words (~1,386 tokens).
“World-class senior prompt engineer skill for production-grade AI/ML/Data systems.”
- name
- senior-prompt-engineer
Files
SKILL.md and 6 other files (scripts, references) in .claude/skills/senior-prompt-engineer of maslennikov-ig/claude-code-orchestrator-kit.
- SKILL.md
- references/agentic_system_design.md
- references/llm_evaluation_frameworks.md
- references/prompt_engineering_patterns.md
- scripts/agent_orchestrator.py
- scripts/prompt_optimizer.py
- scripts/rag_evaluator.py
Open the folder on GitHubat commit 8c3b576
Used in 3 other repositories
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in maslennikov-ig/claude-code-orchestrator-kit, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Senior Prompt Engineer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Senior Prompt Engineer this skillmaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| DSPy Language Model ProgrammingOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Building Agent Systemstelagod/code-abyss | 244 | — | ~691 | Automated safety check: Pass | MIT | |
| Chatbotericrisco/rsc-harness | 180 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Claude Cookbooks Reference2025Emma/vibe-coding-cn | 23k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Penshotneopen/story-shot-agent | 217 | — | ~547 | Automated safety check: Notes | MIT |
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Works with
Categories
Questions about Senior Prompt Engineer
What does Senior Prompt Engineer do?
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems. This skill packages three Python scripts - a prompt optimizer, a RAG evaluator, and an agent orchestrator - alongside three reference documents on prompt engineering patterns, LLM evaluation frameworks, and agentic system design. It frames its scope broadly across production AI and data systems, from prompt design through deployment and monitoring.
When should I use Senior Prompt Engineer?
Senior Prompt Engineer fits situations like: optimizing a prompt for a production LLM feature; evaluating a RAG pipeline's retrieval and answer quality; designing the architecture for a multi-agent system.
How do I install Senior Prompt Engineer in Claude Code?
Run `npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a claude-code`. Or copy the skill folder (.claude/skills/senior-prompt-engineer in maslennikov-ig/claude-code-orchestrator-kit) into .claude/skills/senior-prompt-engineer in your project. Claude Code loads it when a task matches its description.
How do I install Senior Prompt Engineer in Codex?
Run `npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a codex`. Or copy the skill folder (.claude/skills/senior-prompt-engineer in maslennikov-ig/claude-code-orchestrator-kit) into .agents/skills/senior-prompt-engineer in your project. Codex loads it when a task matches its description.
Can I use Senior Prompt Engineer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add maslennikov-ig/claude-code-orchestrator-kit --skill senior-prompt-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/senior-prompt-engineer, .gemini/skills/senior-prompt-engineer, .github/skills/senior-prompt-engineer and .opencode/skills/senior-prompt-engineer in your project.
What does Senior Prompt Engineer need to run?
Going by SKILL.md and its folder, Senior Prompt Engineer needs Python for the scripts in its folder and the command-line tools its instructions call (python, kubectl, docker and helm). Our summary lists: Python.
Does Senior Prompt Engineer access the network?
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Senior Prompt Engineer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Senior Prompt Engineer use?
Senior Prompt Engineer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Senior Prompt Engineer use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Senior Prompt Engineer?
Skills that share tags, products or a category with Senior Prompt Engineer: DSPy Language Model Programming (Orchestra-Research/AI-Research-SKILLs, 13k stars), Building Agent Systems (telagod/code-abyss, 244 stars), Chatbot (ericrisco/rsc-harness, 180 stars) and Claude Cookbooks Reference (2025Emma/vibe-coding-cn, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Senior Prompt Engineer?
maslennikov-ig (a GitHub user) maintains it in maslennikov-ig/claude-code-orchestrator-kit, which has 260 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on March 5, 2026.
Source: maslennikov-ig/claude-code-orchestrator-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.