artifact-naming
Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
Methodology for market research and data collection, ensuring data quality and source traceability
$ npx -y skills add chekusu/wanman --skill research-methodology --agent claude-codeHow it fires
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/research-methodologyContext preview
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Methodology for market research and data collection, ensuring data quality and source traceability
name: research-methodology description: Methodology for market research and data collection, ensuring data quality and source traceability
**Every data point must have a source and confidence score.** Estimates are not facts — label them as estimates.
| Tier | Source Type | Confidence Range | Examples | |------|-----------|-----------------|---------| | 1 | Official public data | 0.85-0.95 | Government statistics, public company filings, industry association reports | | 2 | Authoritative media | 0.70-0.85 | Major financial media, industry analysis reports | | 3 | Web search results | 0.50-0.70 | Blogs, forums, review sites | | 4 | Model inference/estimates | 0.20-0.50 | Extrapolations from known data, analogical estimates | | 5 | Training data memory | 0.10-0.30 | Data from model memory (may be outdated) |
1. **Search before estimating**: Do not guess from training data if the information can be searched 2. **Cross-validate**: Confirm key data from at least 2 independent sources 3. **Label timeliness**: Note the time range of data (e.g., "2024 data") 4. **Distinguish facts from opinions**: Clearly label when quoting
Use `wanman artifact put` to record each research data point:
# Good recording practice
wanman artifact put --kind market_data --path "competitors/cafe_a/pricing" \
--meta '{"source":"web_search:dianping.com","confidence":0.65,"data_date":"2024-12","avg_price":35,"currency":"CNY","category":"specialty_coffee"}'
# Bad practice (missing source and confidence)
wanman artifact put --kind market_data --path "competitors/pricing" \
--meta '{"avg_price":35}'Agent Matrix framework — run a supervised network of Claude Code or Codex agents that collaborate on your machine. wanman is an open-source local-mode agent matrix framework.
Repo: chekusu/wanman
Naming conventions for artifact kind and path, ensuring data can be aggregated and analyzed
Quality standards for structured deliverables, ensuring data is verifiable and traceable
CEO checks consistency of agent outputs during post-completion review
wanman CLI command reference — inter-agent communication, task management, artifact storage
File and output conventions for agent workspaces