From awesome-stock-skills
Extracts variant perception factors and investible growth triggers from company concall transcripts, producing evidence-backed VP scorecards, ranked triggers, top deep dives, and forward-looking lists. Auto-fetches missing transcripts.
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Produce an SOIC-style variant perception scorecard and growth triggers list from company concall transcripts.
Analyzes earnings call transcripts for sentiment, key themes, management tone, financial guidance changes, surprises, red flags, and Q&A insights.
Constructs structured business narratives linking qualitative stories to quantitative valuation drivers (revenue growth, margins, reinvestment, cost of capital, risk), classifies 6-stage life cycle, sizes TAM for company analysis.
Decomposes topics, technologies, market signals, or global events into 6 layers (L0 Signal to L6 Research Landscape) via Socratic plain-text conversation. Generates HTML artifact after L6.
Share bugs, ideas, or general feedback.
Produce an SOIC-style variant perception scorecard and growth triggers list from company concall transcripts.
Invoke when user says:
Concall transcripts should ideally exist at:
data/companies/{SYMBOL}/concalls/
If transcripts are missing, the skill fetches them automatically (see Step 1).
1. Extract SYMBOL from user request
2. Glob for data/companies/{SYMBOL}/concalls/*_Transcript.md (or *.pdf)
3. If at least 2 transcripts exist (4 preferred), sort by date and pick 4 most recent
4. If none found → auto-fetch using the fallback strategy below
If local transcripts are missing:
https://www.screener.in/company/{SYMBOL}/consolidated/ — extract all concall PDF links (BSE links). If consolidated fails, try https://www.screener.in/company/{SYMBOL}/"{COMPANY_NAME}" conference call transcript site:bseindia.com"{COMPANY_NAME}" earnings call transcriptcurl -sL into data/companies/{SYMBOL}/concalls/Read the 4 most recent *_Transcript.md files FULLY — management remarks AND Q&A. Do not skip or summarize.
From the transcripts, establish:
Scan for factors in two buckets:
Company-specific growth drivers (tag each if present with evidence):
Industry/sector VP buckets (tag each if present):
For each factor, capture:
Rank by (Probability x Magnitude of Impact). Table columns:
| # | VP Factor | Type | Current Market Belief | Alternate Reality (VP) | Trigger(s) | Evidence (quote) | Timing | EPS Impact Path | Rerating Path | Probability | Kill-Switch |
|---|
Include at least 5 ranked factors.
For each of top 3 VPs, write 5-7 bullets:
Extract ALL forward-looking triggers into a consolidated bullet list:
Write the COMPLETE analysis to:
data/companies/{SYMBOL}/growth_trigger_analysis.md
Use this structure:
# {SYMBOL} — Variant Perception & Growth Triggers Analysis
## Company Context
[sector, segments, customers, capacity, cycle position, consensus narrative]
## Growth Drivers Checklist
[table of present factors with evidence]
## VP Scorecard
[ranked table]
## Top 3 VPs — Deep Dive
[5-7 bullets each]
## Growth Triggers
Key Triggers for {COMPANY_NAME}:
- [trigger 1]
- [trigger 2]
...
data/companies/{SYMBOL}/growth_trigger_analysis.md