Hypothesis Gen
gaasher/Agent-Loop-Skills
A skill your agent uses when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain.
Develop and optimize rough CCF research ideas into problems, insights, mechanisms, and evidence plans.
$ npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-optimizer --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/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-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 "ccf-idea-optimizer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizer into .claude/skills/ccf-idea-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-optimizer", 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/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizerType 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 mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ccf-idea-optimizer .agents/skills/ccf-idea-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ccf-idea-optimizer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizer into .agents/skills/ccf-idea-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-optimizer", 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 mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ccf-idea-optimizer .cursor/skills/ccf-idea-optimizer && 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 "ccf-idea-optimizer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizer into .cursor/skills/ccf-idea-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-optimizer", 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/mikubaka88/CCFA-Skills.git --path ccf-idea-optimizer--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 mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ccf-idea-optimizer .gemini/skills/ccf-idea-optimizer && 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 "ccf-idea-optimizer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizer into .gemini/skills/ccf-idea-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-optimizer", 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 mikubaka88/CCFA-Skills ccf-idea-optimizerInstalls 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 mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ccf-idea-optimizer .github/skills/ccf-idea-optimizer && 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 "ccf-idea-optimizer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizer into .github/skills/ccf-idea-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-optimizer", 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 mikubaka88/CCFA-Skills --skill ccf-idea-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ccf-idea-optimizer .opencode/skills/ccf-idea-optimizer && 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 "ccf-idea-optimizer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-optimizer into .opencode/skills/ccf-idea-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-optimizer", 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.
ccf-idea-optimizerDevelop 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. 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.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5969e6b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from mikubaka88/CCFA-Skills at commit 5969e6b, republished under its MIT licence (© mikubaka88). 826 words, ~1,915 tokens.
.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.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.
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.
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.
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.
references/idea-intake.md only for messy or incomplete inputs; do not restart intake when the conversation already supplies them.../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.../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.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.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.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.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.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.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/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
SKILL.md and 9 other files (references) in ccf-idea-optimizer of mikubaka88/CCFA-Skills.
Open the folder on GitHubat commit 5969e6b
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ccf Idea Optimizer this skillmikubaka88/CCFA-Skills | 3k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Hypothesis Gengaasher/Agent-Loop-Skills | 174 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Novelty CheckAI4Scientist/nano-scientist | 128 | 4 repos | ~823 | Automated safety check: Pass | None | |
| Novelty Assessmentlingzhi227/agent-research-skills | 386 | — | ~716 | Automated safety check: Pass | None | |
| Research Questiongaasher/Agent-Loop-Skills | 174 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Novelty CheckGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~1k | Automated safety check: Pass | None |
gaasher/Agent-Loop-Skills
A skill your agent uses when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain.
AI4Scientist/nano-scientist
Verify research idea novelty against recent literature. An agent skill from AI4Scientist/nano-scientist.
lingzhi227/agent-research-skills
Assess research idea novelty through systematic literature search.
gaasher/Agent-Loop-Skills
A skill your agent uses when the user has a vague topic or area of interest and wants it sharpened into a few strong, novel, feasible research questions.
GRIND-Lab-Core/night_owl_research_agent
Validates that a research idea is genuinely novel vs. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
GRIND-Lab-Core/night_owl_research_agent
The full pipeline for idea generation. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
mikubaka88/CCFA-Skills
Review manuscript claims, evidence, and writing without rewriting.
mikubaka88/CCFA-Skills
Write CCF rebuttals, author responses, revision ledgers, response letters, and conservative resubmission plans.
mikubaka88/CCFA-Skills
Required shared preflight for every CCFA skill after ccf-humanization: apply routing, scope, prerequisites, evidence rules, handoffs, and artifact contracts.
mikubaka88/CCFA-Skills
Design CCF experiment protocols and evidence schemas: datasets, baselines, metrics, ablations, and result-table contents.
mikubaka88/CCFA-Skills
Required first preflight before every CCFA skill, including research, review, retrieval, experiments, visuals, and maintenance.
mikubaka88/CCFA-Skills
Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap.
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Ccf Idea Optimizer is instructions for the agent only.
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.
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.
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.
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.
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.
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.