Install
openclaw skills install @yuanzhian-patsnap/tech-route-comparisonEvidence-backed comparison of two or more technical routes, architectures, or solution paths. Use when the user asks for technical pre-research, technical route comparison, route selection, TRL assessment, maturity assessment, readiness evaluation, opportunity mapping, or any management-grade technical report deliverable — even if they only ask for initiation analysis, committee-ready materials, feasibility, or "which route is better".
openclaw skills install @yuanzhian-patsnap/tech-route-comparisonProvided by Patsnap Eureka.
Use this skill when the decision object is a route set rather than a company, a market arena, or a concrete proposal package. The goal is to compare routes on evidence, normalize the comparison basis, and end with a recommendation the user can act on.
company-tech-profilecompetitive-landscaperd-initiation-review| Mode | When To Use | Focus |
|---|---|---|
overview | Broad technical landscape for a topic | Route inventory, frontier scan, ecosystem structure |
compare | Direct comparison of named routes | Head-to-head comparison matrix, ranking, recommendation |
maturity | Readiness or TRL assessment | Maturity rubric, stage gates, deployment evidence |
opportunity | White-space or opportunity scan | Gap analysis, emerging routes, entry paths |
Default mode: compare when routes are named, overview when only a topic is given.
Freeze these parameters before wide retrieval to prevent evidence drift:
topic: the technology domaindecision_question: what the user needs to decidedecision_use: directional route scan / go-no-go / diligence-gradeapplication_scenario: the specific use case or context (e.g., EV battery,
data center cooling, edge inference)comparison_level: material-level / component-level / system-levelknown_routes: user-provided or discovered route settime_window: default last 3-5 yearsBefore ranking routes, write down:
Do not compare shifting route buckets. Do not mix material-level evidence with system-level evidence as if they were the same layer.
Do not write TRL labels, readiness levels, or maturity claims without an explicit rubric that defines what each level means in the current context. A route with many weak signals is still weak — do not confuse volume with confidence.
For every route recommendation, actively search for and document:
This skill works across multiple tool environments. Before retrieval, detect which capabilities are available and select the highest tier that is reachable.
Create or update these files in a writable run folder:
request.mdworkplan.mdmethod_decisions.mdcomparison_basis.mdquery_log.csvsource_index.csvclaim_ledger.csvreport.mdRecommended subfolders are described in references/workflow.md.
Confirm or infer the following before any retrieval:
topic, decision_question, decision_usemode (overview / compare / maturity / opportunity)application_scenario, comparison_levelknown_routes (user-provided or to be discovered)time_window, audience, deliverableIf the user did not specify routes, proceed with route discovery in Step 1. If the user named routes, freeze them and proceed to Step 2.
If the topic is broad and not route-frozen yet, write a provisional route
taxonomy into comparison_basis.md before retrieval starts.
comparison_basis.md before proceeding.Write to comparison_basis.md:
For each route independently:
query_log.csv with per-route tagging.Do not mix evidence across routes during collection. Keep per-route evidence buckets separate until the normalization step.
Example format:
| Dimension | Route A | Route B | Route C |
|---|---|---|---|
| Performance | High — [Patent: X] demonstrates Y | Moderate — lab-scale only | High — [Paper: Z] benchmark |
| Cost | High — mature supply chain | Unknown — no production data | Low — expensive precursors |
| Maturity (TRL) | TRL 7 — pilot production | TRL 4 — lab validation | TRL 5 — prototype |
| Risk | Low — well-understood failure modes | High — scaling unknowns | Moderate — IP concentration |
Apply the scoring rubric (if maturity or TRL mode):
Run the counterevidence pass:
Separate every claim into:
Write the report following the mode-appropriate output skeleton.
Every claim must cite its source type and identifier, e.g., [Patent: CN1234567B],
[Paper: DOI or title], [Web: source name].
All must pass before delivering the final answer:
comparison_basis.md