Geo Proposal
sickn33/agentic-awesome-skills
Auto-generate a professional, client-ready GEO service proposal from audit data.
A skill your agent uses when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
$ npx skills add Optima-CityU/LLM4AD_Next --skill proposal-foundation-layout -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-foundation-layout --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-foundation-layout .claude/skills/proposal-foundation-layout && 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-foundation-layout" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-foundation-layout into .claude/skills/proposal-foundation-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-foundation-layout", 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-foundation-layoutType 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-foundation-layout -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-foundation-layout --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-foundation-layout .agents/skills/proposal-foundation-layout && 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-foundation-layout" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-foundation-layout into .agents/skills/proposal-foundation-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-foundation-layout", 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-foundation-layout -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-foundation-layout --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-foundation-layout .cursor/skills/proposal-foundation-layout && 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-foundation-layout" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-foundation-layout into .cursor/skills/proposal-foundation-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-foundation-layout", 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-foundation-layout--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-foundation-layout -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-foundation-layout --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-foundation-layout .gemini/skills/proposal-foundation-layout && 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-foundation-layout" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-foundation-layout into .gemini/skills/proposal-foundation-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-foundation-layout", 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-foundation-layoutInstalls 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-foundation-layout -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-foundation-layout .github/skills/proposal-foundation-layout && 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-foundation-layout" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-foundation-layout into .github/skills/proposal-foundation-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-foundation-layout", 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-foundation-layout -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-foundation-layout --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-foundation-layout .opencode/skills/proposal-foundation-layout && 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-foundation-layout" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-foundation-layout into .opencode/skills/proposal-foundation-layout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-foundation-layout", 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-foundation-layoutA skill your agent uses when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
Proposal Foundation Layout is an agent skill from Optima-CityU/LLM4AD_Next. Use when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/foundation-and-coordination.md` and `references/typst-template.md`).
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 (its code samples are json).
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 Foundation Layout loads about 1.8k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 898 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). 898 words, ~1,762 tokens.
.claude/skills/proposal-foundation-layout/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.<!-- Adapted from Maxine-1520/OpenAIR_proposal; see ../ATTRIBUTION.md. -->
Use this skill only for the research proposal formatting stage.
Establish the durable research context that governs the complete proposal workflow, then express it as a readable, restrained, publication-quality Typst document. The model defines the context blocks needed for the actual project instead of fitting every proposal into a fixed field list. Later workflow stages will treat these blocks as authoritative and may refine them through explicit patches.
Read the method reference completely before acting: references/foundation-and-coordination.md.
When changing the generated NSFC presentation layer, also read
references/typst-template.md for its upstream source, license, and adaptation
boundary.
You may read any project source file for context. You may modify only the selected entry document, styles/, and assets/.
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.
The typst-author skill is enabled alongside this one and owns Typst language questions. It bundles a local copy of the official Typst 0.15 documentation under its docs/ directory.
Read that documentation before writing Typst code that names a function, parameter, or syntax form. Typst is newer than most training data, and a function name that merely sounds plausible produces a compile error rather than a near miss — #numbered-list(...), for example, does not exist (the function is enum), and Typst reads the hyphen as subtraction, so the whole call fails.
Do not rely on recall for the following, all of which are documented in the bundled mirror:
enum, list, and terms;set text options.If the mirror does not settle a runtime question, probe it with typst eval rather than guessing.
formatting-target.json identifies the selected entry, user-context.txt contains the author's current request, and proposal-foundation.json contains previously established context. Select only the material needed for the current formatting work.AskUserQuestion for consequential missing or conflicting choices. Keep questions concrete and avoid asking about facts already fixed by the source or author.styles/nsfc-proposal.typ; edit that file instead of duplicating layout rules in section files. Otherwise use conservative academic defaults and centralize them with Typst set and show rules.styles/, and assets/. Create the selected entry when formatting-target.json names a Typst file that does not exist yet, using the uploaded source material as read-only context. Other proposal sections may be read for context but belong to later stages and must not be changed here.publish_stage_result from the enabled LLM4AD stage MCP server. Pass the final artifact and a stable idempotency key for this completed revision. A successful tool response is the only completion signal; if validation fails, correct the source or artifact and call it again. Upsert every context block established or changed in this turn, leave unrelated persisted blocks untouched, and remove a key only when the author or trusted source explicitly invalidates it:{
"source_path": "proposal.typ",
"summary": "Established the proposal foundation and updated its visual system.",
"context_patch": {
"upsert": [
{
"key": "model_defined_stable_key",
"title": "A project-specific context heading",
"content": "Complete Markdown content, including any useful hierarchy or equations.",
"source_refs": ["author response or proposal.typ: section"]
}
],
"remove_keys": []
}
}/workspace, runtime directories, event streams, session files, or installed Skill directories. Restrict project discovery to /workspace/source; directly read only a method reference explicitly named by this enabled Skill or the docs/ mirror of the enabled typst-author skill.© 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 2 other files (references) in skills/openair-proposal/proposal-foundation-layout of Optima-CityU/LLM4AD_Next.
Open the folder on GitHubat commit e3d3f7b
Proposal Foundation Layout 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 Foundation Layout this skillOptima-CityU/LLM4AD_Next | 574 | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause | |
| Geo Proposalsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Better Proposals AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~764 | Automated safety check: Pass | None | |
| Contract And Proposal Writeralirezarezvani/claude-skills | 28k | 2 repos | ~3.4k | Automated safety check: Pass | MIT | |
| ProposalChorus-AIDLC/Chorus | 1.2k | — | ~5.5k | Automated safety check: Pass | AGPL-3.0 | |
| Proposal Writerholaboss-ai/holaOS | 11k | — | ~574 | Automated safety check: Pass | Custom licence |
sickn33/agentic-awesome-skills
Auto-generate a professional, client-ready GEO service proposal from audit data.
ComposioHQ/awesome-claude-skills
Automate Better Proposals tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
alirezarezvani/claude-skills
Generate professional, jurisdiction-aware business documents: freelance contracts, project proposals, SOWs, NDAs, and MSAs.
Chorus-AIDLC/Chorus
Chorus Proposal workflow on Hermes — create proposals with document and task drafts, manage dependency DAG, validate, submit, and run the read-only proposal reviewer via delegatetask.
holaboss-ai/holaOS
Draft client proposals and statements of work that scope, price, and win the project.
anthropics/claude-for-legal
Review and approve (or reject) pending playbook update proposals from the playbook-monitor agent and apply approved changes to the practice profile.
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.
Optima-CityU/LLM4AD_Next
A skill your agent uses when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
A skill your agent uses when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins. Proposal Foundation Layout is an agent skill from Optima-CityU/LLM4AD_Next. Use when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
Proposal Foundation Layout fits situations like: establishing a research proposals project foundation; submission constraints; presentation system before section drafting begins.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-foundation-layout -a claude-code`. Or copy the skill folder (skills/openair-proposal/proposal-foundation-layout in Optima-CityU/LLM4AD_Next) into .claude/skills/proposal-foundation-layout in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-foundation-layout -a codex`. Or copy the skill folder (skills/openair-proposal/proposal-foundation-layout in Optima-CityU/LLM4AD_Next) into .agents/skills/proposal-foundation-layout 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-foundation-layout -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-foundation-layout, .gemini/skills/proposal-foundation-layout, .github/skills/proposal-foundation-layout and .opencode/skills/proposal-foundation-layout in your project.
SKILL.md names no scripts, command-line tools or credentials: Proposal Foundation Layout 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 Foundation Layout 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 1.8k tokens (SKILL.md is roughly 7k 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 1.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Proposal Foundation Layout: Geo Proposal (sickn33/agentic-awesome-skills, 47k stars), Better Proposals Automation (ComposioHQ/awesome-claude-skills, 77k stars), Contract And Proposal Writer (alirezarezvani/claude-skills, 28k stars) and Proposal (Chorus-AIDLC/Chorus, 1.2k 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.