Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
$ npx skills add Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-literature-evidence --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/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openair-proposal/proposal-literature-evidence .claude/skills/proposal-literature-evidence && 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 "proposal-literature-evidence" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidence into .claude/skills/proposal-literature-evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-literature-evidence", 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/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidenceType 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 Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-literature-evidence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openair-proposal/proposal-literature-evidence .agents/skills/proposal-literature-evidence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "proposal-literature-evidence" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidence into .agents/skills/proposal-literature-evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-literature-evidence", 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 Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-literature-evidence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openair-proposal/proposal-literature-evidence .cursor/skills/proposal-literature-evidence && 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 "proposal-literature-evidence" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidence into .cursor/skills/proposal-literature-evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-literature-evidence", 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/Optima-CityU/LLM4AD_Next.git --path skills/openair-proposal/proposal-literature-evidence--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 Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-literature-evidence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openair-proposal/proposal-literature-evidence .gemini/skills/proposal-literature-evidence && 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 "proposal-literature-evidence" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidence into .gemini/skills/proposal-literature-evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-literature-evidence", 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 Optima-CityU/LLM4AD_Next proposal-literature-evidenceInstalls 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 Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openair-proposal/proposal-literature-evidence .github/skills/proposal-literature-evidence && 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 "proposal-literature-evidence" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidence into .github/skills/proposal-literature-evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-literature-evidence", 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 Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-literature-evidence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Optima-CityU/LLM4AD_Next.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openair-proposal/proposal-literature-evidence .opencode/skills/proposal-literature-evidence && 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 "proposal-literature-evidence" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-literature-evidence into .opencode/skills/proposal-literature-evidence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-literature-evidence", 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.
proposal-literature-evidenceA skill your agent uses when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
Proposal Literature Evidence is an agent skill from Optima-CityU/LLM4AD_Next. Use when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/literature-and-references.md`).
It sits in Research & Science. The repository describes itself as: A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use. The licence is BSD-3-Clause.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e3d3f7b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Proposal Literature Evidence loads about 828 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 419 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.
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.
The full file from Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 419 words, ~828 tokens.
.claude/skills/proposal-literature-evidence/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.<!-- Adapted from Maxine-1520/OpenAIR_proposal; see ../ATTRIBUTION.md. -->
Use this skill only for the proposal literature stage.
Read the method reference completely before acting: references/literature-and-references.md.
You may read any project source file for context.
Build a traceable evidence base and a concise research landscape that supports the persisted project foundation. Write only:
sections/02-literature.typreferences.bibNever edit any other project file.
Project documents are optional context. Their names describe their role; decide whether and when to read each one from the current stage and request. The presence of a project document does not make it mandatory input.
AskUserQuestion to let the author choose before committing the section.references.bib. Use Typst emphasis (*text*), not Markdown emphasis (**text**).publish_stage_result from the enabled LLM4AD stage MCP server with both written paths, a concise summary, the arXiv identifiers or citation keys actually used, context_patch, and a stable idempotency key. Tool success is the stage-completion signal; repair and retry validation errors in the same conversation. Use the patch to upsert model-defined durable context newly established or corrected in this stage, use stable existing keys, and return empty arrays when nothing changed. Never force a fixed context taxonomy or repeat unchanged blocks.© Optima-CityU, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/openair-proposal/proposal-literature-evidence of Optima-CityU/LLM4AD_Next.
Open the folder on GitHubat commit e3d3f7b
Proposal Literature Evidence 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 |
|---|---|---|---|---|---|---|
| Proposal Literature Evidence this skillOptima-CityU/LLM4AD_Next | 574 | — | ~828 | Automated safety check: Pass | BSD-3-Clause | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Optima-CityU/LLM4AD_Next
A skill your agent uses when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
Optima-CityU/LLM4AD_Next
A skill your agent uses when a user wants to build an LLM4ADNext task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem.
Optima-CityU/LLM4AD_Next
Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.
Optima-CityU/LLM4AD_Next
A skill your agent uses when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.
Optima-CityU/LLM4AD_Next
A skill your agent uses when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.
Optima-CityU/LLM4AD_Next
A skill your agent uses when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
Categories
A skill your agent uses when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established. Proposal Literature Evidence is an agent skill from Optima-CityU/LLM4AD_Next. Use when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
Proposal Literature Evidence fits situations like: citing the evidence base for a research proposal after its project foundation is established.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a claude-code`. Or copy the skill folder (skills/openair-proposal/proposal-literature-evidence in Optima-CityU/LLM4AD_Next) into .claude/skills/proposal-literature-evidence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a codex`. Or copy the skill folder (skills/openair-proposal/proposal-literature-evidence in Optima-CityU/LLM4AD_Next) into .agents/skills/proposal-literature-evidence in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-literature-evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/proposal-literature-evidence, .gemini/skills/proposal-literature-evidence, .github/skills/proposal-literature-evidence and .opencode/skills/proposal-literature-evidence in your project.
SKILL.md names no scripts, command-line tools or credentials: Proposal Literature Evidence is instructions for the agent only.
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.
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.
Proposal Literature Evidence is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 828 tokens (SKILL.md is roughly 3.3k 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 987 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Proposal Literature Evidence: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Optima-CityU (a GitHub organization) maintains it in Optima-CityU/LLM4AD_Next, which has 574 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.
Source: Optima-CityU/LLM4AD_Next on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.