proposal-innovation-plan
Use when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
Skill by Optima-CityU
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/optima-cityu-proposal-innovation-plan
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing-editing, project-management
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/proposal-innovation-plan
What's inside
- Skill name
proposal-innovation-plan- Description
- Use when distilling a proposal's innovations and defining milestones, annual plans, contingency points, and expected outcomes.
- License
- BSD-3-Clause
- Instructions
- 33 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- innovation-and-plan.md · references/
SKILL.md (first lines)
<!-- Adapted from Maxine-1520/OpenAIR_proposal; see ../ATTRIBUTION.md. --> # Proposal Innovation and Work Plan Use this skill only for the proposal innovation and plan stage. Read the method reference completely before acting: `references/innovation-and-plan.md`. You may read any project source file for context. Write only `sections/07-plan.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. Select the completed literature, objectives, and methods needed to establish defensible differences and dependencies. 2. State each innovation as a specific difference in research question, mechanism, method, integration, or validation. Tie it to a documented limitation, work package, and evaluation path. 3. Avoid absolute priority claims unless the evidence stage verifies them. 4. Build milestones and an annual plan around dependencies and reviewable outputs rather than equal calendar slices. 5. Include decision points and fallback actions for the risks already identified by the methods stage. 6. Separate expected outcomes from achieved results. Ask the author before asserting fixed publication, patent, venue, performance, or delivery targets. 7. Write the Typst section, then call `publish_stage_result` from the enabled LLM4AD stage MCP server with the written path, summary, any 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. Record durable author decisions or constraints newly established or corrected here with stable model-defined keys; return empty patch arrays when nothing changed. ## Quality checks - Innovations are distinct, evidence-aware, and traceable to objectives and methods. - Milestones map to work packages and produce observable evidence. - The schedule respects the project duration and task dependencies. - Expected outcomes are specific without becoming fabricated guarantees.
From Optima-CityU/LLM4AD_Next, BSD-3-Clause.
More from Optima-CityU/LLM4AD_Next
- 0.818score
proposal-foundation-layout
Optima-CityU
Use when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-methods
Optima-CityU
Use when translating established proposal objectives into research methods, a technical route, formal definitions, and an evaluation plan.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
document-knowledge-organizer
Optima-CityU
Organize one or more Markdown source documents into high-fidelity, editable knowledge blocks.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-foundation-feasibility
Optima-CityU
Use when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-literature-evidence
Optima-CityU
Use when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-final-review
Optima-CityU
Use when assembling a completed staged Typst proposal and checking its evidence, logic, citations, structure, and export readiness.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-rationale
Optima-CityU
Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-objectives
Optima-CityU
Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
typst-author
Optima-CityU
Generate idiomatic Typst (.typ) code, edit and troubleshoot Typst documents and projects, and answer Typst syntax/reference questions.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
reevo
Optima-CityU
Reflective Evolution (ReEvo) method skill.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
llm4ad-task-builder
Optima-CityU
Use when a user wants to build an LLM4AD_Next task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem.
SkillAFreshness: A★ 677Claude Code +9 - 0.813score
nsga2
Optima-CityU
NSGA-II multi-objective evolutionary method skill.
SkillAFreshness: A★ 677Claude Code +9
Signals
- Stars
- 677
- Forks
- 44
- Open issues
- 1
- Last commit (this folder)
- Sep 18, 2026 (1 month ago)
- Last release
- Sep 29, 2026 (28 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- BSD-3-Clause
- Repository
- github.com/Optima-CityU/LLM4AD_Next
- Website
- llm4ad-next.cn
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Optima-CityU
- 0.818score
proposal-rationale
Optima-CityU
Use when developing a proposal's research purpose, necessity, significance, application value, and practical problem framing from verified evidence.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-objectives
Optima-CityU
Use when defining a proposal's objective hierarchy, research content, work packages, and key scientific or technical problems.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-methods
Optima-CityU
Use when translating established proposal objectives into research methods, a technical route, formal definitions, and an evaluation plan.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-literature-evidence
Optima-CityU
Use when researching, organizing, and citing the evidence base for a research proposal after its project foundation is established.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-foundation-layout
Optima-CityU
Use when establishing a research proposal's project foundation, submission constraints, and presentation system before section drafting begins.
SkillAFreshness: A★ 677Claude Code +9 - 0.818score
proposal-foundation-feasibility
Optima-CityU
Use when documenting a proposal's research foundation, available conditions, team support, feasibility, and risk controls from author-supplied facts.
SkillAFreshness: A★ 677Claude Code +9
Cite this page
proposal-innovation-plan skill. Agent Mart. https://agentmart.dev/skills/optima-cityu-proposal-innovation-plan (last updated 2026-10-24)