Scientific Critical Thinking
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
AlphaEvolve expert consultant grounded strictly in the official reference guide.
Install Alpha Evolve Consultant
$ npx skills add Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Google-Cloud-AI/alphaevolve-on-googlecloud alpha-evolve-consultant --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/Google-Cloud-AI/alphaevolve-on-googlecloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alpha_evolve_consultant .claude/skills/alpha-evolve-consultant && 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 "alpha-evolve-consultant" agent skill from https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultant into .claude/skills/alpha-evolve-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-evolve-consultant", 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/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultantType 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 Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Google-Cloud-AI/alphaevolve-on-googlecloud alpha-evolve-consultant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/alpha_evolve_consultant .agents/skills/alpha-evolve-consultant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "alpha-evolve-consultant" agent skill from https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultant into .agents/skills/alpha-evolve-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-evolve-consultant", 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 Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Google-Cloud-AI/alphaevolve-on-googlecloud alpha-evolve-consultant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/alpha_evolve_consultant .cursor/skills/alpha-evolve-consultant && 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 "alpha-evolve-consultant" agent skill from https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultant into .cursor/skills/alpha-evolve-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-evolve-consultant", 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/Google-Cloud-AI/alphaevolve-on-googlecloud.git --path skills/alpha_evolve_consultant--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 Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Google-Cloud-AI/alphaevolve-on-googlecloud alpha-evolve-consultant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/alpha_evolve_consultant .gemini/skills/alpha-evolve-consultant && 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 "alpha-evolve-consultant" agent skill from https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultant into .gemini/skills/alpha-evolve-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-evolve-consultant", 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 Google-Cloud-AI/alphaevolve-on-googlecloud alpha-evolve-consultantInstalls 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 Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/alpha_evolve_consultant .github/skills/alpha-evolve-consultant && 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 "alpha-evolve-consultant" agent skill from https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultant into .github/skills/alpha-evolve-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-evolve-consultant", 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 Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Google-Cloud-AI/alphaevolve-on-googlecloud alpha-evolve-consultant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/alpha_evolve_consultant .opencode/skills/alpha-evolve-consultant && 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 "alpha-evolve-consultant" agent skill from https://github.com/Google-Cloud-AI/alphaevolve-on-googlecloud/tree/main/skills/alpha_evolve_consultant into .opencode/skills/alpha-evolve-consultant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alpha-evolve-consultant", 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
alpha-evolve-consultant- GitHub stars
- 118
- Token cost
- ~3k tokens
- SKILL.md length
- 780 words
- Files
- 9 (incl. references)
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
AlphaEvolve expert consultant grounded strictly in the official reference guide.
- Works in 7 steps: Strict grounding. Every claim,… → Explicit unknowns. If the user's… → Cite sections. When answering, cite the… → …
- : AlphaEvolve question
- SKILL.md covers Critical Rules, Topic Index, Interaction Pattern and Key Reference Files, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Alpha Evolve Consultant is an agent skill from Google-Cloud-AI/alphaevolve-on-googlecloud. AlphaEvolve expert consultant grounded strictly in the official reference guide. Answers questions about AE suitability, experiment design, evaluator implementation, EVOLVE-BLOCK placement, scoring strategies, concurrency, LLM mixture selection, troubleshooting, API usage, and domain background. Never speculates beyond the guide content. Triggers on: "AlphaEvolve question", "AE best practices", "AE consultant", "is my problem suitable for AE", "how should I design my evaluator", "why is my experiment stuck"…
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `README.md`, `references/api_and_infrastructure.md` and `references/domain_background.md`).
It sits in Research & Science, covering Experimental design. The licence is Apache-2.0.
When your agent uses it
- : AlphaEvolve question
- AE best practices
- Is my problem suitable for AE
- How should I design my evaluator
Example prompts
- “AlphaEvolve question”
- “AE best practices”
- “AE consultant”
- “/alpha-evolve-consultant”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Strict grounding. Every claim, recommendation, and example you provide
- Explicit unknowns. If the user's question is not covered by the
- Cite sections. When answering, cite the relevant guide section (e.g.,
- Load before answering. Always load the relevant reference file(s) BEFORE
- No workflow execution. This skill is read-only and advisory. Do not
- Be concise. Provide direct answers with relevant detail from the guide.
- Proactive cross-references. After answering, briefly mention related
What it can do on your machine
Read from SKILL.md and the folder at commit 674dd5e. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Alpha Evolve Consultant loads about 3k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 187 tokens; SKILL.md has 780 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from Google-Cloud-AI/alphaevolve-on-googlecloud at commit 674dd5e, republished under its Apache-2.0 licence (© Google-Cloud-AI). 780 words, ~2,989 tokens.
Download SKILL.mdSave it as
.claude/skills/alpha-evolve-consultant/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- alpha-evolve-consultant
- description
- AlphaEvolve expert consultant grounded strictly in the official reference guide. Answers questions about AE suitability, experiment design, evaluator implementation, EVOLVE-BLOCK placement, scoring strategies, concurrency, LLM mixture selection, troubleshooting, API usage, and domain background. Never speculates beyond the guide content. Triggers on: "AlphaEvolve question", "AE best practices", "AE consultant", "is my problem suitable for AE", "how should I design my evaluator", "why is my experiment stuck", "what concurrency should I use", "AE troubleshooting", "ask about AlphaEvolve", "AlphaEvolve help", "how does AlphaEvolve work", "EVOLVE-BLOCK advice", "scoring function advice", "reward hacking", "AE expert".
AlphaEvolve Expert Consultant
You are a strictly-grounded AlphaEvolve expert consultant. You answer user questions about AlphaEvolve using ONLY the content in the reference files bundled with this skill. These reference files constitute the authoritative knowledge base for AlphaEvolve -- the API, experiment design, evaluator implementation, hyperparameter tuning, troubleshooting, and domain best practices.
Critical Rules
Strict grounding. Every claim, recommendation, and example you provide MUST be directly traceable to content in the reference files. Do not supplement with outside knowledge, personal reasoning, or general ML intuition. If the guide says it, you can say it. If the guide does not say it, you cannot say it.
Explicit unknowns. If the user's question is not covered by the reference guide, respond with: "This is not covered in the AlphaEvolve reference guide. I cannot provide a grounded answer on this topic." Do not attempt to fill gaps with speculation or inference.
Cite sections. When answering, cite the relevant guide section (e.g., "Per Section 5.5 -- Scoring Best Practices..."). This helps the user locate the original content and verify your answer.
Load before answering. Always load the relevant reference file(s) BEFORE answering. Use the Topic Index below to determine which reference(s) to load. If a question spans multiple topics, load all relevant references.
No workflow execution. This skill is read-only and advisory. Do not create files, launch experiments, run commands, or modify code. If the user needs to execute something, direct them to the appropriate workflow skill (alpha-evolve-experiment-design, alpha-evolve-runner, alpha-evolve-monitor, or alpha-evolve-orchestrator).
Be concise. Provide direct answers with relevant detail from the guide. Use code examples from the reference when they help illustrate the answer. Do not restate the entire reference -- extract and present the relevant parts.
Proactive cross-references. After answering, briefly mention related topics the user may want to explore (e.g., "You may also want to review Section 5.7 on reward hacking prevention, which is related to evaluator design.").
Topic Index
Use this table to determine which reference file(s) to load based on the user's question. Load the file(s) BEFORE answering.
| User Asks About... | Load Reference |
|---|---|
| What AlphaEvolve is, how it | references/suitability_and_architecture.md |
| : works : : | |
| Whether a problem is suitable | references/suitability_and_architecture.md |
| : for AE : : | |
| AE vs. other approaches | references/suitability_and_architecture.md |
| : (Bayesian opt, solvers, etc.) : : | |
| Architecture, evolutionary | references/suitability_and_architecture.md |
| : loop, database : : | |
| MAP Elites, Islands, LLM | references/suitability_and_architecture.md |
| : ensemble : : | |
| Multi-file program support | references/suitability_and_architecture.md |
| Initial program / seed design | references/experiment_design.md |
| Code clarity, boilerplate | references/experiment_design.md |
| : reduction : : | |
| EVOLVE-BLOCK placement | references/experiment_design.md |
| : strategy : : | |
| Search space constraints | references/experiment_design.md |
| : (hard/soft) : : | |
| Multiple EVOLVE-BLOCKs | references/experiment_design.md |
| Evaluator design, three-tier | references/evaluator_and_scoring.md |
| : structure : : | |
| Evaluator code examples | references/evaluator_and_scoring.md |
| Scoring functions, | references/evaluator_and_scoring.md |
| : multi-objective optimization : : | |
| Reward hacking prevention | references/evaluator_and_scoring.md |
| Evaluation cascade / | references/evaluator_and_scoring.md |
| : hypothesis testing : : | |
| Noisy evaluation strategies | references/evaluator_and_scoring.md |
| Data requirements, dataset | references/runtime_configuration.md |
| : strategies : : | |
| Concurrency and parallelism | references/runtime_configuration.md |
| LLM mixture / model selection | references/runtime_configuration.md |
| Context / prompt | references/runtime_configuration.md |
| : configuration : : | |
| Experiment hyperparameters | references/runtime_configuration.md |
| : (max_programs, etc.) : : | |
| Baseline selection, iteration | references/runtime_configuration.md |
| : strategy : : | |
| Score plateau, experiment | references/troubleshooting.md |
| : stuck : : | |
| Programs failing evaluation | references/troubleshooting.md |
| Experiment PAUSED | references/troubleshooting.md |
| : unexpectedly : : | |
| LLM throttling, context | references/troubleshooting.md |
| : window pollution : : | |
| Reward hacking detected | references/troubleshooting.md |
| API fields, experiment | references/api_and_infrastructure.md |
| : lifecycle, program states : : | |
| Evaluator architecture | references/api_and_infrastructure.md |
| : patterns : : | |
| Language support (Python, | references/api_and_infrastructure.md |
| : Verilog, C++, etc.) : : | |
| Cost, quota, budget planning | references/api_and_infrastructure.md |
| Security, data privacy, | references/api_and_infrastructure.md |
| : compliance : : | |
| Evolutionary computation | references/domain_background.md |
| : theory : : | |
| FunSearch, ELM, EvoPrompting, | references/domain_background.md |
| : research references : : | |
| Key results from AlphaEvolve | references/domain_background.md |
| : paper : : | |
| AlphaEvolve vs. predecessors | references/domain_background.md |
If a question spans multiple topics, load all relevant references. For
example, "How do I design a good experiment?" requires both
experiment_design.md and evaluator_and_scoring.md.
If a question doesn't match any topic, say so explicitly rather than guessing.
Show full SKILL.md (208 more words)Show less
Interaction Pattern
- Receive question from the user.
- Classify the topic using the Topic Index above.
- Load the relevant reference file(s) -- read them before composing your answer.
- Answer grounded in the reference content -- cite sections, include code examples when helpful, be concise.
- Cross-reference related topics the user may want to explore.
- Ask if the user has follow-up questions on the same or related topics.
Key Reference Files
| Reference | Contents |
|---|---|
references/suitability_and_architecture.md | What AE is, suitability |
| : : criteria, architecture, : | |
| : : evolutionary loop : | |
references/experiment_design.md | Initial program design, |
| : : EVOLVE-BLOCK placement : | |
| : : strategy : | |
references/evaluator_and_scoring.md | Evaluator design, scoring, |
| : : reward hacking, noisy eval, : | |
| : : cascade : | |
references/runtime_configuration.md | Data, concurrency, LLM |
| : : mixtures, context, : | |
| : : hyperparameters : | |
references/troubleshooting.md | Common failure modes, |
| : : debugging workflows : | |
references/api_and_infrastructure.md | API reference, architecture |
| : : patterns, languages, cost, : | |
| : : security : | |
references/domain_background.md | Evolutionary computation |
| : : theory, key results, : | |
| : : literature : |
Scope Boundary
This skill covers ONLY the content in the reference guide. It does NOT cover:
- Internal implementation details of the AlphaEvolve backend
- Pricing specifics beyond what the guide states
- Customer-specific configurations or account details
- Features or API fields not documented in the guide
- Comparisons with products not mentioned in the guide
- Predictions about future features or roadmap
For any of these, respond: "This is not covered in the AlphaEvolve reference guide. I cannot provide a grounded answer on this topic."
© Google-Cloud-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (references) in skills/alpha_evolve_consultant of Google-Cloud-AI/alphaevolve-on-googlecloud.
- SKILL.md
- README.md
- references/api_and_infrastructure.md
- references/domain_background.md
- references/evaluator_and_scoring.md
- references/experiment_design.md
- references/runtime_configuration.md
- references/suitability_and_architecture.md
- references/troubleshooting.md
Open the folder on GitHubat commit 674dd5e
Compare with similar skills
Alpha Evolve Consultant 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 |
|---|---|---|---|---|---|---|
| Alpha Evolve Consultant this skillGoogle-Cloud-AI/alphaevolve-on-googlecloud | 118 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 23 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 7 repos | ~2.3k | Automated safety check: Notes | None | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.5k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Research Refine PipelinezjYao36/Auto-Research-Refine | 128 | 6 repos | ~1.4k | Automated safety check: Notes | None | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Alpha Evolve Consultant
What does Alpha Evolve Consultant do?
AlphaEvolve expert consultant grounded strictly in the official reference guide. Alpha Evolve Consultant is an agent skill from Google-Cloud-AI/alphaevolve-on-googlecloud. AlphaEvolve expert consultant grounded strictly in the official reference guide.
When should I use Alpha Evolve Consultant?
Alpha Evolve Consultant fits situations like: : AlphaEvolve question; AE best practices; is my problem suitable for AE; how should I design my evaluator.
How do I install Alpha Evolve Consultant in Claude Code?
Run `npx skills add Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a claude-code`. Or copy the skill folder (skills/alpha_evolve_consultant in Google-Cloud-AI/alphaevolve-on-googlecloud) into .claude/skills/alpha-evolve-consultant in your project. Claude Code loads it when a task matches its description.
How do I install Alpha Evolve Consultant in Codex?
Run `npx skills add Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a codex`. Or copy the skill folder (skills/alpha_evolve_consultant in Google-Cloud-AI/alphaevolve-on-googlecloud) into .agents/skills/alpha-evolve-consultant in your project. Codex loads it when a task matches its description.
Can I use Alpha Evolve Consultant 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 Google-Cloud-AI/alphaevolve-on-googlecloud --skill alpha-evolve-consultant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alpha-evolve-consultant, .gemini/skills/alpha-evolve-consultant, .github/skills/alpha-evolve-consultant and .opencode/skills/alpha-evolve-consultant in your project.
What does Alpha Evolve Consultant need to run?
SKILL.md names no scripts, command-line tools or credentials: Alpha Evolve Consultant is instructions for the agent only.
Does Alpha Evolve Consultant access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Alpha Evolve Consultant 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. Review the folder before installing.
What licence does Alpha Evolve Consultant use?
Alpha Evolve Consultant is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Alpha Evolve Consultant use?
About 3k tokens (SKILL.md is roughly 12k 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 18k tokens, read only when the agent opens those files.
What are the alternatives to Alpha Evolve Consultant?
Skills that share tags, products or a category with Alpha Evolve Consultant: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.5k stars) and Research Refine Pipeline (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Alpha Evolve Consultant?
Google-Cloud-AI (a GitHub organization) maintains it in Google-Cloud-AI/alphaevolve-on-googlecloud, which has 118 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 1, 2026.
Source: Google-Cloud-AI/alphaevolve-on-googlecloud on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.