Agent skill

Ccf Idea Optimizer

by mikubaka88 in mikubaka88/CCFA-Skills

Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans.

MITAuto-check passedResearch & Science

Install Ccf Idea Optimizer

skills CLI
$ npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a claude-code

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

GitHub CLI
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-optimizer --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/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ccf-idea-optimizer .claude/skills/ccf-idea-optimizer && 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
ccf-idea-optimizer
GitHub stars
3k
Token cost
~1.9k tokens
SKILL.md length
826 words
Files
10 (incl. references)
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans.

  • Works in 9 steps: Extract the user's decision, field,… → When venue fit matters, use… → Ground timeliness and closest work when… → …
  • Rescue routes when development is the requested deliverable
  • SKILL.md covers Family File Contract, Collaboration Contract, Invocation Controls and Core Rule, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ccf Idea Optimizer is an agent skill from mikubaka88/CCFA-Skills. Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans. Use for 优化idea, 具象化idea, 找方向, 方向探索, and rescue routes when development is the requested deliverable. Judging whether an idea is worthwhile, novel, or coherent belongs to ccf-idea-reviewer even without scores; manuscript edits belong to ccf-paper-writer.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files (for example `agents/openai.yaml`, `references/experiment-design.md` and `references/frontier-ideation.md`).

It sits in Research & Science, covering Creative writing and fiction and Hypothesis generation. The repository describes itself as: A skill family for shaping the research storyline of CCF-A papers. The licence is MIT.

When your agent uses it

  • Rescue routes when development is the requested deliverable
  • Tasks that involve Creative writing and fiction
  • Tasks that involve Hypothesis generation

Example prompts

  • “/ccf-idea-optimizer”

Workflow steps

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

  1. Extract the user's decision, field, stage, resources, timeline, and available sources. Infer routine details and mark unknowns. Load…
  2. When venue fit matters, use ../ccf-common/references/ccf-a-venue-map.md and the relevant references/venue-idea-adapters.md passage. An…
  3. Ground timeliness and closest work when needed for the request. Use ../ccf-common/references/privacy-and-evidence.md before browsing…
  4. When sources are available, use references/literature-grounded-evolution.md to retain compact evidence cards, mechanism primitives…
  5. For an underdetermined direction, use references/frontier-ideation.md to generate meaningfully different candidates. Three to five is a…
  6. Use references/problem-method-blueprint.md to connect problem, root challenge, insight, mechanism, assumptions, and expected observation…
  7. Challenge the route against the closest-overlap concern and its weakest evidence link. Use ccf-idea-reviewer for a focused conceptual…
  8. Use references/experiment-design.md to outline the minimum convincing evidence for the central claim: compatible datasets, baselines…
  9. Return the developed idea in the user's requested shape. For a weak seed, distinguish current weakness from development potential and…

What it can do on your machine

Read from SKILL.md and the folder at commit 5969e6b. 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

Ccf Idea Optimizer loads about 1.9k tokens when it runs, and up to ~9k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 826 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9k

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 mikubaka88/CCFA-Skills at commit 5969e6b, republished under its MIT licence (© mikubaka88). 826 words, ~1,915 tokens.

Download SKILL.mdSave it as .claude/skills/ccf-idea-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
ccf-idea-optimizer
description
Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans. Use for 优化idea, 具象化idea, 找方向, 方向探索, and rescue routes when development is the requested deliverable. Judging whether an idea is worthwhile, novel, or coherent belongs to ccf-idea-reviewer even without scores; manuscript edits belong to ccf-paper-writer.

CCF Idea Optimizer

Family File Contract

Before writing, resolve the canonical output and one stable working directory per task/artifact. Reuse explicit or established task paths; otherwise use project-root ccfa-workfiles/<purpose>/<artifact-id>/, with source/, assets/, cache/, and build/ only as needed. Update current files in place; do not scatter intermediates or create iteration copies. Preserve inputs and required evidence; clean only verified disposable files created by this task. Use UTF-8 text I/O and check Chinese text after saving or rendering. For file work, apply artifact-contracts.md and reuse the same paths across skill transitions.

Collaboration Contract

Before specialist execution, read and apply ccf-humanization first, then ccf-common. At every handoff, reuse their applicable active rules or refresh missing/changed ones. Both preflights are required even without prose; detailed editing, experiment, and maintenance modes run only when relevant.

Keep one integrating owner and actively use other skills to resolve missing prerequisites or check material findings. Reuse applicable evidence; do not skip necessary groundwork to save tokens. Before finalizing, integrate contributions and verify affected results. Follow the conditional cooperation routes; avoid unrelated stages and duplicate reports.

Invocation Controls

CCFA Handoff Mode: PARTIAL (Recommended). Follow metadata.ccf_skill_controls.handoff_question_mode, ../ccf-common/references/handoff-modes.md, and ../ccf-common/references/task-modes.md. Complete requested idea development and necessary public-safe grounding under existing authorization. Do not load scoring, writing, or full experiment-design workflows unless their deliverables are requested or needed.

Core Rule

Turn a rough direction into a concrete problem, grounded gap, causal insight, mechanism, and falsifiable evidence plan. Distinguish source-backed observations from inferred opportunities. Do not invent prior work, results, reviewer sentiment, or novelty. Related work should clarify differentiation; an unsearched or crowded direction is uncertain, not automatically dead.

Preserve the user's theme and constraints. Vary framing or mechanism within the authorized development scope, and explain consequential changes. A useful idea has a coherent reason the intervention should change an observable result; a list of familiar modules is insufficient.

Modes

  • Exploratory: develop rough seeds, find directions, and rescue promising ingredients before judging readiness.
  • Quick: repair one local mechanism or give a concise idea card.
  • Standard: ground a mature direction and produce a handoff-ready research plan.

Workflow

  1. Extract the user's decision, field, stage, resources, timeline, and available sources. Infer routine details and mark unknowns. Load references/idea-intake.md only for messy or incomplete inputs; do not restart intake when the conversation already supplies them.
  2. When venue fit matters, use ../ccf-common/references/ccf-a-venue-map.md and the relevant references/venue-idea-adapters.md passage. An unspecified venue can use a labeled generic CCF-A lens.
  3. Ground timeliness and closest work when needed for the request. Use ../ccf-common/references/privacy-and-evidence.md before browsing; search public-safe terms. Use ccf-literature-monitor for recent-paper watch and ccf-literature-searcher for deeper retrieval. Honor no-browsing requests and label unsearched novelty accurately.
  4. When sources are available, use references/literature-grounded-evolution.md to retain compact evidence cards, mechanism primitives, protocol anchors, and unresolved relations. Keep source locations rather than loading whole abstracts repeatedly. Trace borrowed ideas and inferred gaps separately.
  5. For an underdetermined direction, use references/frontier-ideation.md to generate meaningfully different candidates. Three to five is a starting range, not a quota; one well-specified idea needs targeted improvement, not a forced tournament. Keep meaningful lineage and operations such as refine, combine, transfer, invert, or instrument internally.
  6. Use references/problem-method-blueprint.md to connect problem, root challenge, insight, mechanism, assumptions, and expected observation. Check incompatible data assumptions, objectives, or resources. Keep the strongest route and a genuinely different fallback when useful.
  7. Challenge the route against the closest-overlap concern and its weakest evidence link. Use ccf-idea-reviewer for a focused conceptual check when a material value, novelty, or mechanism uncertainty remains; integrate its findings and verify the revised route. Reuse applicable checks and avoid critique that merely paraphrases the idea. A user-requested standalone assessment, including “靠谱吗” or “值得做吗” without scores, remains the reviewer's deliverable.
  8. Use references/experiment-design.md to outline the minimum convincing evidence for the central claim: compatible datasets, baselines, metrics, and discriminating tests. A full execution protocol belongs to ccf-experiment-designer when requested. Planned results remain predictions to test, not evidence.
  9. Return the developed idea in the user's requested shape. For a weak seed, distinguish current weakness from development potential and identify a concrete rescue or reformulation before recommending abandonment. If a required decision remains open, explain the exact evidence needed and finish the independent parts.
Show full SKILL.md (130 more words)Show less

Output Contract

Return an idea card, options, mechanism blueprint, or roadmap as requested. A standard plan contains the problem, source-backed gap, insight, method, contribution type, evidence plan, closest-work difference, material assumptions, and next decision. Include candidate alternatives only when developed and useful. Keep branch bookkeeping, reviewer simulation, and generic checklist status out of publication prose.

Use necessary grounding and conceptual checks within development; do not turn their internal findings into an unrequested score report or manuscript. For a combined requested workflow, complete each deliverable with its owner under existing authorization.

References

  • references/idea-intake.md: normalize incomplete or multiple seeds.
  • references/frontier-ideation.md, references/literature-grounded-evolution.md: diverse development and source-grounded evolution.
  • references/problem-method-blueprint.md: problem-to-mechanism reasoning.
  • references/venue-idea-adapters.md: applicable venue priorities.
  • references/experiment-design.md: minimum discriminating evidence.
  • references/research-taste.md: explicit questions about research quality, elegance, and timeliness.
  • references/source-notes.md: source provenance and current-policy checks.

© mikubaka88, MIT. 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 9 other files (references) in ccf-idea-optimizer of mikubaka88/CCFA-Skills.

  • SKILL.md
  • agents/openai.yaml
  • references/experiment-design.md
  • references/frontier-ideation.md
  • references/idea-intake.md
  • references/literature-grounded-evolution.md
  • references/problem-method-blueprint.md
  • references/research-taste.md
  • references/source-notes.md
  • references/venue-idea-adapters.md

Open the folder on GitHubat commit 5969e6b

Compare with similar skills

Ccf Idea Optimizer 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.

Ccf Idea Optimizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ccf Idea Optimizer this skillmikubaka88/CCFA-Skills3k—~1.9kAutomated safety check: PassMIT
Hypothesis Gengaasher/Agent-Loop-Skills174—~2.6kAutomated safety check: PassMIT
Novelty CheckAI4Scientist/nano-scientist1284 repos~823Automated safety check: PassNone
Novelty Assessmentlingzhi227/agent-research-skills386—~716Automated safety check: PassNone
Research Questiongaasher/Agent-Loop-Skills174—~2.5kAutomated safety check: PassMIT
Novelty CheckGRIND-Lab-Core/night_owl_research_agent106—~1kAutomated safety check: PassNone

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Questions about Ccf Idea Optimizer

What does Ccf Idea Optimizer do?

Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans. Ccf Idea Optimizer is an agent skill from mikubaka88/CCFA-Skills. Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans.

When should I use Ccf Idea Optimizer?

Ccf Idea Optimizer fits situations like: rescue routes when development is the requested deliverable; tasks that involve Creative writing and fiction; tasks that involve Hypothesis generation.

How do I install Ccf Idea Optimizer in Claude Code?

Run `npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a claude-code`. Or copy the skill folder (ccf-idea-optimizer in mikubaka88/CCFA-Skills) into .claude/skills/ccf-idea-optimizer in your project. Claude Code loads it when a task matches its description.

How do I install Ccf Idea Optimizer in Codex?

Run `npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a codex`. Or copy the skill folder (ccf-idea-optimizer in mikubaka88/CCFA-Skills) into .agents/skills/ccf-idea-optimizer in your project. Codex loads it when a task matches its description.

Can I use Ccf Idea Optimizer 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 mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ccf-idea-optimizer, .gemini/skills/ccf-idea-optimizer, .github/skills/ccf-idea-optimizer and .opencode/skills/ccf-idea-optimizer in your project.

What does Ccf Idea Optimizer need to run?

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

Does Ccf Idea Optimizer 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 Ccf Idea Optimizer 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 Ccf Idea Optimizer use?

Ccf Idea Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ccf Idea Optimizer use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Ccf Idea Optimizer?

Skills that share tags, products or a category with Ccf Idea Optimizer: Hypothesis Gen (gaasher/Agent-Loop-Skills, 174 stars), Novelty Check (AI4Scientist/nano-scientist, 128 stars), Novelty Assessment (lingzhi227/agent-research-skills, 386 stars) and Research Question (gaasher/Agent-Loop-Skills, 174 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ccf Idea Optimizer?

mikubaka88 (a GitHub user) maintains it in mikubaka88/CCFA-Skills, which has 3,001 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on September 16, 2026.

Source: mikubaka88/CCFA-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.