Agent skill · Workflow & Productivity

analyst-research

End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-resea

genli-aigithub.com/genli-aiGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add genli-ai/market-research-skills --skill analyst-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 19
SKILL.md size: 10 KB
Bundled scripts: yes
Path: skills/analyst-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 57
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

<!-- Bilingual skill: this SKILL.md is the English primary; the Chinese mirror is SKILL.zh.md. Each references/*.md has a Chinese mirror references/*.zh.md (same content, two languages). The .md files are authoritative for the agent; the .zh.md files are for human readers. --> # analyst-research · investment research workflow skill A field-validated AI-assisted research workflow for investment analysts and policy researchers, packaged as a reusable Claude skill. Built on the methodology that produced the Saudi Vision 2030 deep-dive (35 figures, 15k+ words). Three scope modes; user picks at trigger time. > **License**: MIT. Copyright © 2026 Ligen <ligen.thu@gmail.com>. See `LICENSE`. ## Step 0 — pick a mode (REQUIRED before loading references) When this skill is triggered, **before** loading any reference file, ask the user to pick a scope. Present these three options verbatim: ``` This skill has three scope modes. Pick one based on your project size: light 4-5 page decision memo, 0 charts, ~15 min budget Single LLM session. Pure markdown footnote citations. Use for: exec brief, internal memo, quick decision support. medium 12-15 page topic analysis, 6-10 charts, ~1 h budget Single

What's inside
Steps it walks through
  1. Step 0 — pick a mode (REQUIRED before loading references)
  2. Loading order per mode
  3. light mode
  4. medium mode
  5. heavy mode
  6. Mode comparison at a glance
  7. When NOT to use this skill
  8. How to upgrade or downgrade scope mid-project
  9. Project scaffold lives outside the skill
  10. Skill evolution
  11. Language policy
Ships with 18 files
  • MODE_REGISTRY.md
  • MODE_REGISTRY.zh.md
  • SKILL.zh.md
  • references/_quarto-light.yml
  • references/_quarto-medium.yml
  • references/report_style_spec.md
  • references/report_style_spec.zh.md
  • references/workflow.md
  • references/workflow.zh.md
  • references/workflow_heavy.md
  • references/workflow_heavy.zh.md
  • references/workflow_light.md
  • references/workflow_light.zh.md
  • references/workflow_medium.md
  • references/workflow_medium.zh.md
  • scripts/author.jpg
  • scripts/chart_template.py
  • scripts/publication-style-template.html
More from market-research-skills
All skills →
About this skill
What does the analyst-research skill do?

End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-resea

How do I install it?

Run `npx skills add genli-ai/market-research-skills --skill analyst-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From genli-ai/market-research-skills, a repository with 57 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going