feishu-deep-research_skill

This skill automates Feishu deep research report generation by performing structured data collection and uploading to Feishu cloud space.
  • Python

2.6k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill feishu-deep-research

  • _meta.json310 B
  • SKILL.md15.2 KB

Overview

This skill automates deep research and generates a structured Feishu document uploaded to a Feishu cloud folder. It runs a three‑phase workflow: user confirmation, autonomous multi‑round research with integrity checks, and direct Feishu REST API file import using exec + curl. The output includes a timestamped Markdown report, source list, and all upload/import artifacts (tenant token, file_token, ticket, job_status, doc_url).

How this skill works

After an initial confirmation step, the skill performs time‑layered searches (historical, recent, latest) at a controlled rate, enforces minimum source and time coverage by depth level, and runs automatic completeness checks. It assembles a Markdown research report with a mandatory data timeliness statement and source list, then uses curl calls (tenant_access_token → upload file → create import task → poll status) to import the file into Feishu cloud space. Every API step must be reported explicitly.

When to use it

  • Investment research needing verifiable provenance and timeliness
  • Industry or competitor analysis that requires multi‑source aggregation
  • Technical due diligence or market scouting with strict audit trail needs
  • When you must produce a Feishu document with documented API upload artifacts
  • Any scenario that requires automatic completeness checks before report delivery

Best practices

  • Always complete the startup confirmation to set date range and search rate
  • Choose depth level (basic/standard/deep) to match required source count and time coverage
  • Keep Markdown files under recommended size (≈100KB) or split by chapter
  • Provide correct Feishu folder token and app credentials or the process will halt
  • Do not bypass curl steps with wrapper libraries; the skill requires explicit exec + curl calls

Example use cases

  • Generate a deep investment report on a listed company and upload the document to a team Feishu folder
  • Produce quarterly competitor surveillance summaries with source URLs and timeliness declaration
  • Run technical landscape research for a product team and produce a documented Feishu report for stakeholders
  • Create an industry trend brief that includes at least three source types and automatic completeness validation

FAQ

You must provide the research topic and Feishu cloud folder token. File name, date_range and search_rate are optional.

How does the skill ensure Feishu upload compliance?

It uses exec + curl for tenant_access_token, file upload, import task creation and polling, and explicitly reports tenant_access_token, file_token, ticket and job_status for audit.

What causes the job to stop immediately?

Hard stops include search API unavailability, inability to get current date, Feishu auth failure, insufficient source count for chosen depth, or missing required year data.

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feishu-deep-research skill by openclaw/skills | VeilStrat