agentleFS
Distilla-AIDistilla-AI/distilla-skills/sell-side-view/SKILL.md

sell-side-view

Skill9 starsChanged 41 days agoNo licenceView on GitHub

Single-company deep-dive memo on the sell-side view of ONE named stock, built from recent research reports — a full broker coverage table (rating, target, estimates per broker), narrative shifts, where analysts disagree, what the Street may be missing, and per-broker valuation methodology. Use when the user asks about one specific company for a sell-side consensus read, analyst view summary, that company's recent broker upgrades/downgrades, 'walk me through analyst coverage on X', or Street opinion on X. If several tickers are given, produce one full memo per company. Do NOT use for a multi-company, sector, region, theme or watchlist digest, or for any request that says 'sell-side brief', 'broker brief', 'research brief' or '/sell-side-brief' (use `sell-side-brief`).

The file

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 7 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.