eureka-skill
Coordinate rigorous invention, mathematical research, formalization, validation, and high-integrity computation through a compact evidence-first skill…
Skill by minagayid
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/minagayid-eureka-skill
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.
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About
Use cases: research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/eureka-skill
What's inside
- Skill name
eureka-skill- Description
- Coordinate rigorous invention, mathematical research, formalization, validation, and high-integrity computation through a compact evidence-first skill collection. Use for complex breakthrough, theory, invention, optimization, or computational-research requests that span several specialist workflows and need explicit routing, reproducibility, and proof-gap controls.
- License
- MIT
- Instructions
- 34 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.md
- catalog.md · references/
- routing.md · references/
- eureka-program.md · templates/
SKILL.md (first lines)
# eureka_skill Use **eureka_skill** as a routing layer for ambitious interdisciplinary work. It does not replace specialist skills or convert an attractive idea into a theorem, patent, safe design, or commercial product. It selects the smallest route that can establish the next bounded fact. ## Eureka workflow 1. **Frame the decision.** Define target, system boundary, deliverable, risk/cost of error, success metric, prohibited claims and stop condition. 2. **Build an evidence ledger.** Label every material statement sourced, computed, inferred, proposed or unresolved. Preserve source/artefact links and uncertainty. 3. **Select the minimum route.** Read [routing.md](references/routing.md) and choose only the specialist skills needed for the current gate. 4. **Create mechanisms, not slogans.** Require baseline, conserved/budgeted quantities, causal chain, counterfactual/negative control, predicted signature and falsifier. 5. **Formalize and compute responsibly.** Freeze inputs, units, data/seed policy, numerical/formal method, verification, validation, uncertainty, manifest and rerun command before execution. 6. **Run an adversarial gate.** Check alternatives, boundary/degenerate cases, sensitivity, hidden conditions, decision reversal and cost of error. Escalate high-consequence sensitive results to independent implementation or measurement. 7. **Deliver a bounded handoff.** State what was established, by which versioned artefact, over which regime, what remains a proof gap, and the next reversible action. ## Core collection Read [catalog.md](references/catalog.md) when selecting a specialist or auditing the collection’s upgrade coverage. | Layer | Skills | |---|---| | Framing and evidence | `critical-creative-thinking`, `research-synthesis-hypothesis`, `frontier-research-architect` | | Discovery and mechanism | `innovation-breakthrough-design`, `contradiction-mechanism-lab`, `cross-domain-recombination`, `invention-generation-orchestrator` | | Formalization and validation | `conjecture-formalization-lab`, `invention-validation-lab`, `bounded-invention-engineering` | | Mathematical and super computation | `advanced-mathematics-computation`, `math-research-orchestrator`, `eureka-computational-lab`, `eureka-design-space-lab`, `eureka-formal-logic-lab` | ## Default deliverable Start from [eureka-program.md](templates/eureka-program.md). Do not claim a result exceeds the strongest completed evidence layer. For instance, a finite numerical pass is finite computed evidence; an exhaustive search is only as strong as its coverage proof; a converged simulation is not automatically a validated model. ## Completion gate Finish only with a decision, evidence classification, versioned artefact locations, reproducibility/VVUQ status where applicable, proof-gap ledger and next bounded action. Stop for user approval before irreversible external action.
From minagayid/innovator, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 3, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/minagayid/innovator
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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unlazy-completion-audit
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Perform a final evidence-based completion audit for engineering, research, analysis, and content work; hunt for defects, reconcile requirements, and report…
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unlazy-acceptance-gates
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Design and operate trustworthy acceptance gates for software, data, research, and deliverables; inspect checks before execution, distinguish stale evidence…
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adversarial-peer-review
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Conduct rigorous, evidence-based adversarial debate and peer review of research, arguments, plans, code, specifications, and designs; identify structural…
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contradiction-mechanism-lab
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Mine contradictions, bottlenecks, and hidden assumptions to generate mechanisms for original inventions, theories, algorithms, and designs.
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critical-creative-thinking
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Cite this page
eureka-skill. Agent Mart. https://agentmart.dev/skills/minagayid-eureka-skill (last updated 2026-10-24)