
ccf-idea-optimizer
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.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/mikubaka88/ccfa-skills --skill ccf-idea-optimizer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ccf-idea-optimizer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
CCF Idea Optimizer
Family File Contract
Before file work, reuse canonical paths and one task/artifact working directory; default to project-root ccfa-workfiles/<purpose>/<artifact-id>/. Update in place, preserve inputs, and use UTF-8 with Chinese-text checks. Apply artifact-contracts.md for naming, ownership, and task-created cleanup; handoffs inherit these paths.
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.
Integrate necessary specialist contributions under one owner; reuse valid prerequisites and verify affected results. Follow the cooperation routes without 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.
Requested innovation authorizes distinct candidate mechanisms even with optional route comparison off. Keep the research question stable while exploring; preserve a selected mechanism during execution unless a material reason reopens it. Use Common's progress test to stop repeated critique or search that adds no decision-relevant information.
When contributing to explicitly requested autonomous research, use the current observations and failed assumptions to propose the next mechanism, analysis, or search strategy. A stable research objective does not freeze the initial method; change the operation or underlying assumption when the evidence calls for it. Return the hypothesis and discriminating prediction to ccf-pipeline-orchestrator, following its research loop. The authorized campaign's scope and resources govern candidate breadth, not the one-extra-candidate rule for skill maintenance. Ordinary idea development still needs no executed experiments.
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
- Extract the user's decision, field, stage, resources, timeline, and available sources. Infer routine details and mark unknowns. Load
references/idea-intake.mdonly for messy or incomplete inputs; do not restart intake when the conversation already supplies them. - When venue fit matters, use
../ccf-common/references/ccf-a-venue-map.mdand the relevantreferences/venue-idea-adapters.mdpassage. An unspecified venue can use a labeled generic CCF-A lens. - Ground timeliness and closest work when needed for the request. Use
../ccf-common/references/privacy-and-evidence.mdbefore browsing; search public-safe terms. Useccf-literature-monitorfor recent-paper watch andccf-literature-searcherfor deeper retrieval. Honor no-browsing requests and label unsearched novelty accurately. - When sources are available, use
references/literature-grounded-evolution.mdto 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. - For an underdetermined direction or explicit request for a breakthrough, use
references/frontier-ideation.mdto generate meaningfully different candidates. Three to five is a starting range, not a quota or ceiling; honor requested breadth. One well-specified idea otherwise needs targeted improvement. Keep useful lineage and operations such as refine, combine, transfer, invert, or instrument internally. - Use
references/problem-method-blueprint.mdto 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. - Challenge the route against the closest-overlap concern and its weakest evidence link. Use
ccf-idea-reviewerfor a focused conceptual check when a material uncertainty remains; integrate findings and check affected assumptions. Each return must resolve a concern, add evidence, or test a different mechanism; otherwise stop the review/development ping-pong and name the discriminator. A reviewer's smallest repair is a diagnostic option, not a ceiling on authorized innovation. Requested standalone assessment remains the reviewer's deliverable. - Match evidence planning to the requested artifact. Early idea cards need a discriminating observation, proof direction, or question, not an experiment matrix. For a complete research plan or explicitly requested evidence design, use
references/experiment-design.mdto select relevant evidence for the central claim. Full execution protocols belong toccf-experiment-designer; planned results remain predictions, not evidence. - Return the developed idea in the user's requested shape. Distinguish current weakness from development potential. Offer a rescue when a specific plausible change preserves value; stop a candidate with a demonstrated contradiction, hard-constraint violation, or no remaining contribution without a compulsory rescue pass. Preserve the broader research objective. If a required decision remains open, explain the exact evidence needed and finish the independent parts.
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.
FAQ
What does the ccf-idea-optimizer skill do?
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.
How do I install ccf-idea-optimizer?
Run npx skills add https://github.com/mikubaka88/ccfa-skills --skill ccf-idea-optimizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ccf-idea-optimizer/ (personal) or .claude/skills/ccf-idea-optimizer/ (project).
Which AI agents can use ccf-idea-optimizer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ccf-idea-optimizer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ccf-idea-optimizer?
It is published by mikubaka88 in mikubaka88/ccfa-skills. It has 1,943 recorded installs.
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