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Agent skill

Proposal Objectives

by Optima-CityU in Optima-CityU/LLM4AD_Next

A skill your agent uses when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.

BSD-3-ClauseAuto-check passed

Install Proposal Objectives

skills CLI
$ npx skills add Optima-CityU/LLM4AD_Next --skill proposal-objectives -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Optima-CityU/LLM4AD_Next proposal-objectives --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-objectives .claude/skills/proposal-objectives && rm -rf skills-src

Use ~/.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/

Facts

Skill name
proposal-objectives
GitHub stars
574
Token cost
~563 tokens
SKILL.md length
279 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 defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.

  • Works in 6 steps: The foundation and completed earlier… → Apply the objective-content-problem… → Define research work packages and the… → …
  • Defining a proposals objective hierarchy
  • SKILL.md covers Workflow and Quality checks
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Proposal Objectives is an agent skill from Optima-CityU/LLM4AD_Next. Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/objectives-and-key-problems.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

  • Defining a proposals objective hierarchy
  • Research content
  • Technical problems

Example prompts

  • “/proposal-objectives”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. The foundation and completed earlier sections provide optional context for scope, evidence, and dependencies. Select the material needed…
  2. Apply the objective-content-problem correspondence and key-problem argument methods from the reference.
  3. Define research work packages and the key scientific or technical questions that make each package necessary.
  4. Make dependencies and boundaries explicit: what is in scope, what is excluded, and what evidence would demonstrate progress.
  5. Ask the author only when a consequential objective, deliverable, or boundary remains ambiguous.
  6. Write the Typst section, then call publish_stage_result from the enabled LLM4AD stage MCP server with the written path, summary, reused…

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 Objectives loads about 563 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 279 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~563
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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). 279 words, ~563 tokens.

Download SKILL.mdSave it as .claude/skills/proposal-objectives/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
proposal-objectives
description
Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.
<!-- Adapted from Maxine-1520/OpenAIR_proposal; see ../ATTRIBUTION.md. -->

Proposal Objectives and Key Problems

Use this skill only for the proposal objectives stage. Write only sections/04-objectives.typ.

Read the method reference completely before acting: references/objectives-and-key-problems.md.

You may read any project source file for context. You may modify only sections/04-objectives.typ. 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

  1. The foundation and completed earlier sections provide optional context for scope, evidence, and dependencies. Select the material needed for the objectives being defined.
  2. Apply the objective-content-problem correspondence and key-problem argument methods from the reference.
  3. Define research work packages and the key scientific or technical questions that make each package necessary.
  4. Make dependencies and boundaries explicit: what is in scope, what is excluded, and what evidence would demonstrate progress.
  5. Ask the author only when a consequential objective, deliverable, or boundary remains ambiguous.
  6. Write the Typst section, then call publish_stage_result from the enabled LLM4AD stage MCP server with the written path, summary, reused citation keys, context_patch, and a stable idempotency key. Tool success is the stage-completion signal; repair and retry validation errors in the same conversation. Upsert project-specific durable context learned or corrected here under descriptive stable keys. Do not map it into predefined headings, repeat unchanged blocks, or remove a block without explicit invalidation.

Quality checks

  • Objectives describe outcomes, not a list of activities.
  • Every work package maps to a stated problem and expected evidence.
  • The scope is achievable within the duration and constraints in the foundation.
  • No method detail is invented merely to fill the next stage.

© 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-objectives of Optima-CityU/LLM4AD_Next.

  • SKILL.md
  • references/objectives-and-key-problems.md

Open the folder on GitHubat commit e3d3f7b

Compare with similar skills

Proposal Objectives 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.

Proposal Objectives compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Proposal Objectives this skillOptima-CityU/LLM4AD_Next574—~563Automated safety check: PassBSD-3-Clause
Geo Proposalsickn33/agentic-awesome-skills47k1 repos~3.2kAutomated safety check: NotesMIT
Better Proposals AutomationComposioHQ/awesome-claude-skills77k3 repos~764Automated safety check: PassNone
Contract And Proposal Writeralirezarezvani/claude-skills28k2 repos~3.4kAutomated safety check: PassMIT
ProposalChorus-AIDLC/Chorus1.2k—~5.5kAutomated safety check: PassAGPL-3.0
Proposal Writerholaboss-ai/holaOS11k—~574Automated safety check: PassCustom licence

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More from Optima-CityU/LLM4AD_Next

All 24 skills in this repo

  • Proposal Foundation Layout

    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.

    574 GitHub stars~1.8k tokensUpdated today
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  • Llm4ad Task Builder

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    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.

    574 GitHub stars~3.7k tokensUpdated today
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  • Document Knowledge Organizer

    Optima-CityU/LLM4AD_Next

    Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.

    574 GitHub stars~695 tokensUpdated today
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  • Proposal Final Review

    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.

    574 GitHub stars~774 tokensUpdated today
    Auto-check passed

  • Proposal Foundation Feasibility

    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.

    574 GitHub stars~613 tokensUpdated today
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  • Proposal Innovation Plan

    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.

    574 GitHub stars~578 tokensUpdated today
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Questions about Proposal Objectives

What does Proposal Objectives do?

A skill your agent uses when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems. Proposal Objectives is an agent skill from Optima-CityU/LLM4AD_Next. Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.

When should I use Proposal Objectives?

Proposal Objectives fits situations like: defining a proposals objective hierarchy; research content; technical problems.

How do I install Proposal Objectives in Claude Code?

Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-objectives -a claude-code`. Or copy the skill folder (skills/openair-proposal/proposal-objectives in Optima-CityU/LLM4AD_Next) into .claude/skills/proposal-objectives in your project. Claude Code loads it when a task matches its description.

How do I install Proposal Objectives in Codex?

Run `npx skills add Optima-CityU/LLM4AD_Next --skill proposal-objectives -a codex`. Or copy the skill folder (skills/openair-proposal/proposal-objectives in Optima-CityU/LLM4AD_Next) into .agents/skills/proposal-objectives in your project. Codex loads it when a task matches its description.

Can I use Proposal Objectives 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-objectives -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-objectives, .gemini/skills/proposal-objectives, .github/skills/proposal-objectives and .opencode/skills/proposal-objectives in your project.

What does Proposal Objectives need to run?

SKILL.md names no scripts, command-line tools or credentials: Proposal Objectives is instructions for the agent only.

Does Proposal Objectives 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 Objectives 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 Objectives use?

Proposal Objectives 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 Objectives use?

About 563 tokens (SKILL.md is roughly 2.3k 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 788 tokens, read only when the agent opens those files.

What are the alternatives to Proposal Objectives?

Skills that share tags, products or a category with Proposal Objectives: 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.

Who maintains Proposal Objectives?

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.