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client-review Skill

AI Agent SkillPythonOpen source

Prepare for client review meetings with portfolio performance summary, allocation analysis, talking points, and action items. Pulls together account data into a concise meeting-ready format. Use before quarterly reviews, annual checkups, or ad-hoc client meetings. Triggers on "client review", "meeting prep for [client] Published by anthropics in financial-services.

What is client-review Skill?

Prepare for client review meetings with portfolio performance summary, allocation analysis, talking points, and action items. Pulls together account data into a concise meeting-ready format. Use before quarterly reviews, annual checkups, or ad-hoc client meetings. Triggers on "client review", "meeting prep for [client] Published by anthropics in financial-services. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use client-review Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/financial-services
  • Skill file: plugins/vertical-plugins/wealth-management/skills/client-review/SKILL.md

What it does

Prepare for client review meetings with portfolio performance summary, allocation analysis, talking points, and action items. Pulls together account data into a concise meeting-ready format. Use before quarterly reviews, annual checkups, or ad-hoc client meetings. Triggers on "client review", "meeting prep for [client]

Skill instructions

Client Review Prep Workflow Step 1: Client Context Gather or look up: - Client name and household members - Account types: Taxable, IRA, Roth, 401(k), trust, etc. - Total AUM across accounts - Investment Policy Statement (IPS): Target allocation, risk tolerance, constraints - Life stage: Accumulation, pre-retirement, retirement, legacy - Last meeting date and any outstanding action items Step 2: Portfolio Performance For each account and the household aggregate: | Metric | QTD | YTD | 1-Year | 3-Year | Since Inception | |--------|-----|-----|--------|--------|----------------| | Portfolio return | | | | | | | Benchmark return | | | | | | | Alpha | | | | | | Performance Attribution: - Which asset classes / positions drove returns? - Top 3 contributors and top 3 detractors - Any outsized single-position impact? Step 3: Allocation Review Current vs. target allocation: | Asset Class | Target | Current | Drift | Action | |------------|--------|---------|-------|--------| | US Large Cap | |

Explore related resources

Frequently asked questions

What is client-review?

client-review is a open-source AI agent skill with Copy skill directory. Prepare for client review meetings with portfolio performance summary, allocation analysis, talking points, and action items. Pulls together account data into a concise meeting-ready format.

Who is client-review best for?

client-review is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install client-review?

Install or run client-review using Copy skill directory. Check client-review for the latest setup command.

Is client-review actively maintained?

client-review may need a closer maintenance check before production use.

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Stars
33,477
Forks
4,938
Last commit
26 days ago
Repository age
5 months
License
Apache-2.0

Auto-fetched from GitHub.

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