Research Proposal Development
hashgraph-online/awesome-codex-plugins
Develop research proposals with solicitation alignment, reviewer-focused logic, evidence-bounded preliminary results, milestones, risks, and compelling figures.
A skill your agent uses when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
BSD-3-ClauseAuto-check passed
Install Proposal Rationale
$ npx skills add Optima-CityU/LLM4AD_Next --skill proposal-rationale -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-rationale --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-rationale .claude/skills/proposal-rationale && 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-rationale" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-rationale into .claude/skills/proposal-rationale/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-rationale", 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-rationaleType 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-rationale -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-rationale --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-rationale .agents/skills/proposal-rationale && 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-rationale" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-rationale into .agents/skills/proposal-rationale/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-rationale", 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-rationale -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-rationale --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-rationale .cursor/skills/proposal-rationale && 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-rationale" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-rationale into .cursor/skills/proposal-rationale/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-rationale", 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-rationale--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-rationale -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Optima-CityU/LLM4AD_Next proposal-rationale --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-rationale .gemini/skills/proposal-rationale && 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-rationale" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-rationale into .gemini/skills/proposal-rationale/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-rationale", 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-rationaleInstalls 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-rationale -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-rationale .github/skills/proposal-rationale && 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-rationale" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-rationale into .github/skills/proposal-rationale/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-rationale", 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-rationale -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-rationale --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-rationale .opencode/skills/proposal-rationale && 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-rationale" agent skill from https://github.com/Optima-CityU/LLM4AD_Next/tree/main/skills/openair-proposal/proposal-rationale into .opencode/skills/proposal-rationale/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "proposal-rationale", 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
proposal-rationale- GitHub stars
- 574
- Token cost
- ~642 tokens
- SKILL.md length
- 318 words
- Files
- 2 (incl. references)
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
A skill your agent uses when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
- Works in 6 steps: Apply the purpose, specificity,… → Separate research purpose from academic,… → Ground factual claims in the literature… → …
- Developing a proposals research purpose
- SKILL.md covers Outcome, Workflow and Quality checks
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Proposal Rationale is an agent skill from Optima-CityU/LLM4AD_Next. Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/purpose-and-value.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.
When your agent uses it
- Developing a proposals research purpose
- Application value
- Practical problem framing from verified evidence
Example prompts
- “/proposal-rationale”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Apply the purpose, specificity, necessity, significance, application-value, and practical-problem methods from the reference.
- Separate research purpose from academic, practical, and potential application value.
- Ground factual claims in the literature stage and reuse only citation keys present in references.bib.
- Ask the author when the intended impact, audience, or application claim is consequential and not resolved by the foundation.
- Preserve the scope and success criteria in the foundation. Do not enlarge the proposal merely to sound ambitious.
- Write complete Typst sections, then call publish_stage_result from the enabled LLM4AD stage MCP server with both paths, the citation keys…
What it can do on your machine
Read from SKILL.md and the folder at commit e3d3f7b. 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
Proposal Rationale loads about 642 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 318 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 Optima-CityU/LLM4AD_Next at commit e3d3f7b, republished under its BSD-3-Clause licence (© Optima-CityU). 318 words, ~642 tokens.
Download SKILL.mdSave it as
.claude/skills/proposal-rationale/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- proposal-rationale
- description
- Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
<!-- Adapted from Maxine-1520/OpenAIR_proposal; see ../ATTRIBUTION.md. -->Proposal Rationale and Value
Use this skill only for the proposal rationale stage.
Read the method reference completely before acting: references/purpose-and-value.md.
Outcome
Turn the project foundation and verified literature into a coherent argument for why the research should be undertaken. Write only:
sections/01-rationale.typsections/03-value.typ
You may read any project source file for context. The proposal foundation describes the established scope, the literature section describes the evidence landscape, and the bibliography defines available citation keys. Never edit files owned by another stage. 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.
Workflow
- Apply the purpose, specificity, necessity, significance, application-value, and practical-problem methods from the reference.
- Separate research purpose from academic, practical, and potential application value.
- Ground factual claims in the literature stage and reuse only citation keys present in
references.bib. - Ask the author when the intended impact, audience, or application claim is consequential and not resolved by the foundation.
- Preserve the scope and success criteria in the foundation. Do not enlarge the proposal merely to sound ambitious.
- Write complete Typst sections, then call
publish_stage_resultfrom the enabled LLM4AD stage MCP server with both paths, the citation keys used,context_patch, and a stable idempotency key. Tool success is the stage-completion signal; repair and retry validation errors in the same conversation. Upsert any model-defined durable context established or corrected through this stage, preserving existing stable keys; remove a key only when explicitly invalidated. Return empty patch arrays when shared context did not change.
Quality checks
- The rationale identifies a precise gap rather than asserting generic importance.
- Claimed value follows from the proposed work and is not presented as an achieved result.
- Terminology, scope, and audience match the persisted foundation.
- No evidence, team capability, or expected result is fabricated.
© 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
Files
SKILL.md and 1 other file (references) in skills/openair-proposal/proposal-rationale of Optima-CityU/LLM4AD_Next.
- SKILL.md
- references/purpose-and-value.md
Open the folder on GitHubat commit e3d3f7b
Compare with similar skills
Proposal Rationale 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 Rationale this skillOptima-CityU/LLM4AD_Next | 574 | — | ~642 | Automated safety check: Pass | BSD-3-Clause | |
| Research Proposal Developmenthashgraph-online/awesome-codex-plugins | 1.3k | — | ~547 | Automated safety check: Pass | Apache-2.0 | |
| Geo Proposalsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| MCP Developmentcoollabsio/coolify | 63k | 1 repos | ~949 | Automated safety check: Pass | MIT | |
| Better Proposals AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~764 | Automated safety check: Pass | None | |
| Game Developmentsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
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Questions about Proposal Rationale
What does Proposal Rationale do?
A skill your agent uses when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence. Proposal Rationale is an agent skill from Optima-CityU/LLM4AD_Next. Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
When should I use Proposal Rationale?
Proposal Rationale fits situations like: developing a proposals research purpose; application value; practical problem framing from verified evidence.
How do I install Proposal Rationale in Claude Code?
Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-rationale -a claude-code`. Or copy the skill folder (skills/openair-proposal/proposal-rationale in Optima-CityU/LLM4AD_Next) into .claude/skills/proposal-rationale in your project. Claude Code loads it when a task matches its description.
How do I install Proposal Rationale in Codex?
Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-rationale -a codex`. Or copy the skill folder (skills/openair-proposal/proposal-rationale in Optima-CityU/LLM4AD_Next) into .agents/skills/proposal-rationale in your project. Codex loads it when a task matches its description.
Can I use Proposal Rationale 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 Optima-CityU/LLM4AD_Next --skill proposal-rationale -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-rationale, .gemini/skills/proposal-rationale, .github/skills/proposal-rationale and .opencode/skills/proposal-rationale in your project.
What does Proposal Rationale need to run?
SKILL.md names no scripts, command-line tools or credentials: Proposal Rationale is instructions for the agent only.
Does Proposal Rationale 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 Proposal Rationale 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 Proposal Rationale use?
Proposal Rationale 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.
How many tokens does Proposal Rationale use?
About 642 tokens (SKILL.md is roughly 2.6k 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 943 tokens, read only when the agent opens those files.
What are the alternatives to Proposal Rationale?
Skills that share tags, products or a category with Proposal Rationale: Research Proposal Development (hashgraph-online/awesome-codex-plugins, 1.3k stars), Geo Proposal (sickn33/agentic-awesome-skills, 47k stars), MCP Development (coollabsio/coolify, 63k stars) and Better Proposals Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Proposal Rationale?
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.