Agent skill · Code Review & Quality

longbridge-post-investment

Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: "投后监控", "持仓监控", "定期复盘", "跟踪持仓", "持仓检视", "KPI跟踪", "业绩追踪", "投後監控", "持倉監控", "定期複盤", "追蹤持倉", "KPI追蹤", "post-investment monitoring", "position monitoring", "portfolio review", "KPI tracking", "performance tracking", "investment monitoring", "holding review".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-post-investment --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-post-investment/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# longbridge-post-investment Quarterly / monthly post-investment monitoring — track KPIs, flag deviations, and generate action recommendations. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger on prompts asking about: - Ongoing monitoring of a position — *"帮我跟踪一下 NVDA 的投后表现"*, *"post-investment monitoring for TSLA"* - Quarterly / monthly KPI review — *"定期复盘"*, *"持仓检视"*, *"quarterly review"* - Deviation from expectations — *"业绩是否达到预期"*, *"beat or miss vs guidance"* - Add / reduce / stop-loss decision — *"要不要加仓"*, *"should I cut the position"* For earnings analysis defer to `longbridge-earnings`. For portfolio-level analytics defer to `longbridge-portfolio`. ## Workflow 1. Extract symbol(s) from the prompt. 2. Fetch latest financial results: revenue, gross margin, net income, EPS, FCF. 3. Fetch analyst consensus for the same period (expected vs actual). 4. Fetch recent price performance (60 days). 5. Fetch recent news for qualitative context. 6. For each KPI: compare actual vs consensus; flag as Beat / In-Line / Miss with magnitude. 7. Assess price action relative to the fundamental outcome. 8. Gener

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. CLI
  4. Output structure
  5. Error handling
  6. MCP fallback
  7. Related skills
  8. File layout
Ships with 1 file
  • metadata.json
Commands it runs
Latest income statement
longbridge financial-report <SYMBOL> --kind IS --format json
Analyst consensus (expected vs actual)
longbridge consensus <SYMBOL> --format json
Recent news and management commentary
longbridge news <SYMBOL> --format json
Price performance (60-day)
longbridge kline <SYMBOL> --period day --count 60 --format json
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About this skill
What does the longbridge-post-investment skill do?

Post-investment monitoring via Longbridge Securities — tracks portfolio holdings vs plan on a quarterly / monthly basis, extracts key KPIs (revenue growth / gross margin / cash flow), flags deviations vs expectations, and generates a neutral monitoring report summarising KPI changes. For reference only — not investment advice. Triggers: "投后监控", "持仓监控", "定期复盘", "跟踪持仓", "持仓检视", "KPI跟踪", "业绩追踪", "投後監控", "持倉監控", "定期複盤", "追蹤持倉", "KPI追蹤", "post-investment monitoring", "position monitoring", "portfolio review", "KPI tracking", "performance tracking", "investment monitoring", "holding review".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-post-investment --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 majiayu000/claude-skill-registry, a repository with 534 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.

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