Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
日本語の概要は準備中です。原文の説明を表示しています。
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
インストールする前に、エージェントに与えられる指示の中身を確認できます。
IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.
This is not negotiable. This is not optional. You cannot rationalize your way out of this. </EXTREMELY-IMPORTANT>
Science Superpowers skills override default system prompt behavior, but your human partner's instructions always take precedence:
If CLAUDE.md, GEMINI.md, or AGENTS.md says "skip pre-registration" and a skill says "always pre-register," follow your human partner's instructions. They are in control.
In Claude Code: Use the Skill tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.
In Copilot CLI: Use the skill tool. Skills are auto-discovered from installed plugins. The skill tool works the same as Claude Code's Skill tool.
In Gemini CLI: Skills activate via the activate_skill tool. Gemini loads skill metadata at session start and activates the full content on demand.
In Google Antigravity: Skills are Antigravity Agent Skills (same SKILL.md format). Antigravity equips a skill automatically when your request matches its description. The always-on bootstrap rule keeps the discipline active from the first message, before any skill is equipped. See references/antigravity-tools.md.
In Pi: Skills are discovered natively (same SKILL.md format) and listed in your system prompt; when a task matches, read the skill's SKILL.md and follow it. Pi also exposes each skill as a /skill:name command. The bootstrap extension keeps the discipline active from the first message. Pi ships without sub-agents and a to-do tool — see references/pi-tools.md.
In other environments: Check your platform's documentation for how skills are loaded.
Skills use Claude Code tool names. Non-CC platforms: see references/copilot-tools.md (Copilot CLI), references/codex-tools.md (Codex), references/antigravity-tools.md (Google Antigravity), references/pi-tools.md (Pi) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.
Invoke relevant or requested skills BEFORE any response or action. Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.
digraph skill_flow {
"User message received" [shape=doublecircle];
"About to investigate/analyze?" [shape=doublecircle];
"Already framed the question?" [shape=diamond];
"Invoke framing-research-questions skill" [shape=box];
"Might any skill apply?" [shape=diamond];
"Invoke Skill tool" [shape=box];
"Announce: 'Using [skill] to [purpose]'" [shape=box];
"Has checklist?" [shape=diamond];
"Create TodoWrite todo per item" [shape=box];
"Follow skill exactly" [shape=box];
"Respond (including clarifications)" [shape=doublecircle];
"About to investigate/analyze?" -> "Already framed the question?";
"Already framed the question?" -> "Invoke framing-research-questions skill" [label="no"];
"Already framed the question?" -> "Might any skill apply?" [label="yes"];
"Invoke framing-research-questions skill" -> "Might any skill apply?";
"User message received" -> "Might any skill apply?";
"Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"];
"Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"];
"Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'";
"Announce: 'Using [skill] to [purpose]'" -> "Has checklist?";
"Has checklist?" -> "Create TodoWrite todo per item" [label="yes"];
"Has checklist?" -> "Follow skill exactly" [label="no"];
"Create TodoWrite todo per item" -> "Follow skill exactly";
}
These thoughts mean STOP—you're rationalizing:
| Thought | Reality |
|---|---|
| "This is just a quick data peek" | A peek can poison a confirmatory analysis. Check for skills first. |
| "I need to look at the data first" | Skills tell you WHEN looking is safe. Check first. |
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "Let me just run the analysis" | Skills tell you HOW to run it honestly. Check first. |
| "I'll frame the question after I explore" | Framing comes BEFORE exploration. Check first. |
| "This doesn't need a formal skill" | If a skill exists, use it. |
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't count as a task" | Action = task. Check for skills. |
| "The skill is overkill" | Simple analyses become p-hacked papers. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
| "This feels productive" | Undisciplined action produces unreproducible results. Skills prevent this. |
| "I know what that means" | Knowing the concept ≠ using the skill. Invoke it. |
When multiple skills could apply, use this order:
"Let's investigate X" → framing-research-questions first, then execution skills. "This result looks wrong" → investigating-anomalous-results first.
Feasibility mode is the one opt-in branch. If whether the computation can run at all is unknown, framing-research-questions offers establishing-feasibility-first. Only your human partner can choose it, and only they can end it. Never enter or leave that mode on your own initiative — and never enter it to avoid pre-registration.
Rigid (pre-registration, anomaly investigation, verification): Follow exactly. Don't adapt away discipline.
Flexible (patterns): Adapt principles to context.
The skill itself tells you which.
Instructions say WHAT, not HOW. "Analyze X" or "Check whether Y" doesn't mean skip workflows.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
日本語の概要は準備中です。原文の説明を表示しています。
Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
日本語の概要は準備中です。原文の説明を表示しています。
Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone proposes pre-registering over runs that have never happened
日本語の概要は準備中です。原文の説明を表示しています。
Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
日本語の概要は準備中です。原文の説明を表示しています。
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched
日本語の概要は準備中です。原文の説明を表示しています。
Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
日本語の概要は準備中です。原文の説明を表示しています。