research-architect-intake

Solid

Use when starting or resuming a Research Architect project—including an existing draft that needs review—and you need to capture target reference papers, project materials, constraints, verification status, and the next deliverable.

AI & Automation 68 stars 2 forks Updated 2 weeks ago MIT

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Quality Score: 82/100

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Description 5%
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Skill Content

# Research Architect Intake Create the smallest reliable starting record. Ask only for information that changes the next research decision. ## Minimum intake Collect: 1. the topic, raw idea, research question, or existing draft; 2. the desired outcome and immediate deliverable; 3. accessible target reference papers and the research functions the user wants to learn from; 4. available notes, data, results, sources, code, drafts, and displays; 5. time, access, ethics, privacy, methods, and resource constraints; 6. whether sources are local, specified by path, or retrieved from the web; and 7. recurring terms, abbreviations, datasets, cohorts, models, conditions, metrics, or other objects whose names or versions may be ambiguous; and 8. `adaptation_depth`: `guided`, `standard`, or `deep`. ## Target-reference record For each target reference, record: | Field | Meaning | |---|---| | `source_id` | Stable source ID | | `path_or_identifier` | Local path, DOI, URL, or repository location | | `role` | `primary_exemplar`, `secondary_exemplar`, `method_reference`, or `citation_source` | | `user_target_reason` | Strength the user wants to learn from | | `desired_similarity` | Research functions to adapt | | `verification_status` | Access and verification state, including `full_text_accessed` or `inaccessible` | Use `primary_exemplar` only for a paper whose overall research logic may guide adaptation. Keep exemplar learning and citation support separate. ## Outputs Create: ```te...

Details

Author
mmTheBest
Repository
mmTheBest/Research-Architect
Created
2 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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