Research feishu report cocreate
Skill leohuang0423/deepresearch-report-feishu-skill/skills/codex/research-feishu-report-cocreate
Deep research report skill for Codex, Claude, and OpenClaw with Feishu-ready delivery
npx -y skills add leohuang0423/deepresearch-report-feishu-skill --skill research-feishu-report-cocreateAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use for high-standard topic reports that need creator-first evidence, explicit audience and decision framing, non-consensus synthesis, structured dossiers, and optional Feishu or HTML delivery. Trigger when the user needs a deep report, build/no-build memo, high-rework-cost synthesis, a local-only method playbook, or a shareable research package rather than lightweight research or generic writing.
SKILL.md
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Research Feishu Report Cocreation
Use this skill only for one task class:
- high-standard topic-sharing report
- multiple evidence objects
- explicit audience and decision value
- high-rework-cost convergence
- optional dossier / Feishu / HTML delivery
It is not for:
- generic writing
- lightweight research
- automatic product judgment or thesis generation
- vague brainstorming without a report contract
Trigger check
Use this skill only if at least three are true:
- the topic still needs to be clarified
- evidence comes from more than one source or case
- the target audience is explicit
- the output must help readers make a concrete judgment
- delivery quality matters
- rework cost is high
If any of these are missing, stop and ask before drafting:
- target audience
- decision the report should help with
- deliverable shape
- evidence boundary
Mandatory clarification loop
Before deep research or drafting, do one short first pass:
- frame the task
- sketch the initial plan
- scan the obvious evidence boundary
Then ask the user 2-3 high-leverage clarification questions and wait for confirmation.
Those questions must target the variables most likely to change the result. Prioritize:
- who the real audience is
- what ideal-state result standard the user will judge the work against; make this as specific, evaluable, measurable, and quantifiable as possible
- what decision, goal, or quality bar the report must serve
- what scope, source boundary, delivery shape, or must-include / must-exclude constraints apply
Do not ask a long laundry list. Ask only the smallest set of questions that can materially change the report.
The clarification loop must explicitly align on what "excellent" looks like for this report. Push for concrete acceptance criteria, evaluation dimensions, thresholds, examples, or numeric targets instead of vague style preferences.
If the user already gave all of this clearly, restate the frozen assumptions instead of asking again.
Mode route
light: use the four-stage skeleton onlymid: expand one or two checkpointslocal_only_synthesis: keep the contract, but compress intermediate states into the requested final artifacts and do not pretend to have external validationheavy_topic_report: load contracts and follow the report-first path
Read first
contracts/mode_policy.yamlcontracts/gates.yamlreferences/workflow_v2.md
If mode is heavy_topic_report, also read:
contracts/topic_report_brief.schema.yamlcontracts/expert_panels.yamlcontracts/rubric.yamlcontracts/state_machine.yamlreferences/research_cocreate_rules.mdreferences/creator_first_source_rules.mdreferences/non_consensus_insight_rules.mdreferences/reader_first_narrative_rules.mdreferences/case_packet_rules.mdreferences/report_visual_rules.mdreferences/local_only_synthesis_rules.md
Load these on demand:
references/native_dossier_rules.mdreferences/feishu_publish_qa_rules.mdreferences/interactive_html_render_rules.mdreferences/main_doc_review_rules.mdreferences/eval_rules.md
Required gates for heavy topic reports
brief_gatepre_research_gatepre_draft_gatepost_draft_gatepublish_gate
Do not enter full draft or publish until the required gate passes.
Required heavy-mode panels:
ideal_state_panelevidence_panelacceptance_panel
Mandatory execution path for heavy topic reports:
briefresearch_questionthesis_cardevidence_mapoutline_freezefigure_plandraftreview_panelacceptance_panel
Mandatory execution path for local_only_synthesis:
briefresearch_questionthesis_cardcompressed_evidence_mapoutline_freezedraftreview_panel
Required artifacts for every heavy-topic-report run:
brief.yamlthesis_card.mdevidence_map.mdatomic_evidence.jsonlcase_packets/figure_manifest.yamlrender_manifest.yamlmain_report.mdappendix.mdrun_log.json
Required artifacts for every local_only_synthesis run:
brief.yamlmain_report.mdappendix.mdrun_log.json
Modules
topic_to_reportcreator_source_miningnon_consensus_synthesisnarrative_architecturecase_packetingreport_visualslocal_only_synthesisnative_dossierfeishu_publish_qainteractive_html_report
Templates:
assets/topic_report_brief_template.yamlassets/thesis_card_template.mdassets/evidence_map_template.mdassets/figure_manifest_template.yamlassets/case_packet_template.yamlassets/render_manifest_template.yamlassets/report_structure_template.mdassets/review_output_template.mdassets/acceptance_scorecard_template.md
Non-negotiables
- Do not replace the user's product judgment.
- Do not continue into full research or drafting until you have asked
2-3 high-leverage clarification questionsafter the initial first pass, unless the user already made those answers explicit. - Do not treat "good quality" as sufficient alignment; freeze an ideal-state result standard that is as specific, evaluable, measurable, or quantifiable as the task allows.
- Do not skip
brief -> research_question -> thesis_card -> evidence_map -> outline_freeze -> figure_plan. - Do not enter full draft without creator-first evidence, a frozen evidence map, and at least one core figure role.
- If the task is
local_only_synthesis, do not fake external evidence, do not require publish assets, and preserve compressed intermediate states inside appendix or run log. - Do not let market conclusions borrow certainty from mechanism evidence.
- Do not ship consensus-only insight as if it were original insight.
- Do not explain difficult mechanisms without concrete case packets.
- Do not treat Feishu or HTML rendering as a substitute for research quality.