triz
Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields Skill: triz Owner: athola Summary: Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields Tags: latest:1.9.19 Version history: v1.9.19 | 2026-08-26T13:23:57.555Z | user Release v1.9.19 v1.9.17 | 2026-07-30T05:43:37.293Z | user Release v1.9.17 v1.9.16 | 2026-07-14T20:00:27.772Z | user Release v1.9.16 v1.9.14 | 2026-06-30T18:07:38.741Z | user Release v1.9.14 v1.9.13 | 2026-06-27T16:25:26.
Rank
62
Safety
84
Downloads
1.6k
Updated
Oct 10, 2026
Version
1.9.19
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.6K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.9.19release · observed Aug 26, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17emme0e2m3cpf7k2jvp3a84984b8z9:nm-tome-triz- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-athola-nm-tome-triz/snapshot"
Documentation
CLAWHUB
34,461 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: triz
description: |
Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields
version: 1.9.8
triggers:
- triz
- cross-domain
- innovation
- analogy
- altshuller
- stuck on a problem and needing inventive perspectives
metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/tome", "emoji": "\ud83e\udd9e"}}
source: claude-night-market
source_plugin: tome
---
> **Night Market Skill** — ported from [claude-night-market/tome](https://github.com/athola/claude-night-market/tree/master/plugins/tome). For the full experience with agents, hooks, and commands, install the Claude Code plugin.
# TRIZ Cross-Domain Analysis
## When To Use
- Stuck on a problem and need perspectives from other domains
- Exploring cross-domain analogies for inventive solutions
## When NOT To Use
- Standard code search or literature review (use other
tome channels)
- Problems with obvious, well-known solutions
Apply Altshuller's Theory of Inventive Problem Solving
to find solutions from adjacent fields.
## Depth Levels
| Depth | Fields | Analysis |
|-------|--------|----------|
| light | 1 | Contradiction only |
| medium | 2 | Contradiction and field mapping |
| deep | 3 | Full matrix and principles |
| maximum | 5 | Distant fields and full TRIZ |
## Workflow
1. Abstract the problem into TRIZ formulation
2. Identify technical contradiction
3. Map to adjacent fields using Semantic Scholar's
field taxonomy
4. Search for solved analogues in those fields
5. Build bridge mappings with rationale
## Field Mapping Strategy
- Software architecture: civil engineering, biology
- Data structures: logistics, materials science
- Algorithms: operations research, genetics
- Security: military strategy, immunology
- Financial: game theory, ecology_meta.json
{
"ownerId": "kn7d107jg9jv602h9ytsegydq184a42s",
"slug": "nm-tome-triz",
"version": "1.9.19",
"publishedAt": 1787750637555
}skill-card.md
## Description: Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. This skill is ready for commercial/non-commercial use. ## Publisher: [athola](https://clawhub.ai/user/athola) ### License/Terms of Use: MIT-0 ## Use Case: Developers, builders, and problem solvers use this skill when they are stuck on a design or implementation problem and want TRIZ-style cross-domain analogies, contradiction framing, and adjacent-field solution patterns. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Generic trigger words such as innovation or analogy may cause the skill to activate more often than expected. Mitigation: Invoke the skill explicitly when TRIZ-style reasoning is desired and review the resulting framing before applying it. Risk: Cross-domain analogies can produce misleading or weakly applicable recommendations. Mitigation: Treat outputs as creative problem-framing guidance and validate any proposed solution against domain requirements before implementation. ## Reference(s): - [ClawHub Skill Page](https://clawhub.ai/athola/skills/nm-tome-triz) - [clawdis homepage](https://github.com/athola/claude-night-market/tree/master/plugins/tome) ## Skill Output: **Output Type(s):** [Text, Markdown, Guidance, Analysis] **Output Format:** [Markdown or plain text reasoning guidance] **Output Parameters:** [1D] **Other Properties Related to Output:** [No code execution, persistence, or sensitive access reported by security evidence.] ## Skill Version(s): 1.9.19 (source: server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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}
]
}Record generated Oct 10, 2026.
