AI DISCLAIMER (MANDATORY):
You MUST include the following disclaimer text in the powerpoint footer. This is not optional — the report is incomplete without it:
"Analysis is AI-generated — please confirm all outputs"
Footer
— At the bottom of the generated slide, as a prominent yellow banner: "Analysis is AI-generated — please confirm all outputs"
Weekly Deal Flow Digest
Generate an analyst-quality
single-slide PowerPoint
that summarizes key takeaways from recent funding rounds across watched sectors or companies, using S&P Global Capital IQ data. Each deal links back to its Capital IQ profile for quick drill-down.
When to Use
Trigger on any of these patterns:
"Give me a deal flow digest for this week"
"Weekly funding recap for [sector]"
"What deals closed in [sector/companies] recently?"
"Transaction roundup" or "deal roundup"
"Capital markets update for my coverage universe"
"Summarize recent funding activity"
Any periodic briefing request about deals, raises, or rounds
Nested Skills
This skill produces a one-slide PPTX briefing:
Read
/mnt/skills/public/pptx/SKILL.md
before generating the PowerPoint (and its sub-reference
pptxgenjs.md
for creating from scratch)
Entity Resolution & Tool Robustness
S&P Global's identifier system resolves company names to legal entities. This works well for most companies but has known failure modes that cause empty results.
Apply these rules throughout the workflow to avoid silent data loss.
Rule 0: Pre-validate ALL identifiers before querying funding
Before
calling any funding tools, run every identifier through
get_info_from_identifiers
. This is the cheapest and most reliable way to catch problems early. Check two things in the response:
Did it resolve at all?
If the identifier returns empty/error, the name doesn't exist in S&P Global. Try the alias from
references/sector-seeds.md
, the legal entity name, or the
company_id
directly.
What is the
status
field?
"Operating"
→ Safe to query for funding rounds.
"Operating Subsidiary"
→ The company exists but is owned by a parent. It will return
zero funding rounds
. Note this in the digest as context (e.g., "acquired by [Parent]") but do not query for funding.
Any other status (e.g., closed, inactive) → The company is no longer operating. Historical data may exist but no new activity.
This single pre-validation step prevents the majority of empty-result issues.
Batch all candidates into a single
get_info_from_identifiers
call (it handles large batches well) and triage before proceeding.
Rule 1: Never trust empty results without a fallback
If
get_rounds_of_funding_from_identifiers
returns empty for a company you expect to have data:
Try the legal entity name or company_id.
Brand names usually work, but some don't. See the alias table in
references/sector-seeds.md
for known mismatches. Common pattern: "[Brand] AI" → "[Legal Name], Inc." (e.g., Together AI → "Together Computer, Inc.", Character.ai → "Character Technologies, Inc.", Runway ML → "Runway AI, Inc.").
Verify the company exists in S&P.
If you skipped Rule 0, call
get_info_from_identifiers(identifiers=["Company"])
now — if this also returns empty, the company may be too early-stage or not yet indexed.
Rule 2: Subsidiaries have no funding rounds
Companies that are divisions or wholly-owned subsidiaries of larger companies (e.g., DeepMind under Alphabet, GitHub under Microsoft, BeReal under Voodoo) will return
zero funding rounds
. Their capital events are tracked at the parent level.
How to detect:
The
status
field from
get_info_from_identifiers
will show
"Operating Subsidiary"
. The
references/sector-seeds.md
file also flags known subsidiaries with ⚠️ warnings. Skip these for funding queries.
Rule 3: Use
get_rounds_of_funding_from_identifiers
as the primary tool, not
get_funding_summary_from_identifiers
The summary tool is faster but less reliable — it can return errors or incomplete data even when detailed rounds exist. Always use the detailed rounds tool as the primary data source. The summary tool is acceptable only for quick aggregate checks (total raised, round count) and should be verified against the rounds tool if results seem low.
Rule 4: Batch carefully and validate
When processing large company universes (50+ companies), batch in groups of 15–20. After each batch, check for companies that returned empty results and run them through the fallback steps in Rule 1 before moving on.
Rule 5: The
role
parameter is critical
company_raising_funds
→ "What rounds did X raise?" (company perspective)
company_investing_in_round_of_funding
→ "What did investor Y invest in?" (investor perspective)
Using the wrong role returns empty results silently. For deal flow digests, you almost always want
company_raising_funds
. Only use the investor role when specifically analyzing an investor's portfolio activity.
Rule 6: Identifier resolution is case-insensitive but spelling-sensitive
S&P Global handles case variations ("openai" = "OpenAI") but is strict on spelling and punctuation. "Character AI" may fail where "Character.ai" succeeds. When in doubt, use the
company_id
(e.g.,
C_1829047235
) which is guaranteed to resolve.
Workflow
Step 1: Establish Coverage & Period
Determine what the digest should cover. There are two setups:
Returning user (has a watchlist):
If the user has previously defined sectors or companies to track, use that list. Check conversation history for prior watchlists.
New user:
Ask for:
Parameter
Default
Notes
Sectors
(at least one)
e.g., "AI, Fintech, Biotech"
Specific companies
Optional
Supplement sector-level coverage
Time period
Last 7 days
"This week", "last 2 weeks", "this month"
Calculate the exact
start_date
and
end_date
from the time period.
Step 2: Build the Company Universe
For each sector specified, build a company universe using a validated bootstrapping approach:
Seed companies
from domain knowledge (see
references/sector-seeds.md
)
Pay attention to the ⚠️ warnings and alias notes in the seeds file — some well-known companies are subsidiaries, have been acquired, or require a specific legal name to resolve.
The seeds file includes
company_id
values for known alias mismatches. Use these directly if the brand name fails.
Pre-validate all seeds immediately
(Rule 0):
get_info_from_identifiers(identifiers=[all_seeds_for_this_sector])
Triage the results into two buckets:
✅
Resolved & Operating
(
status
= "Operating") → proceed to competitor expansion
❌
Unresolved or Subsidiary
→ retry with alias/legal name from seeds file; subsidiaries are noted for context but excluded from funding queries
Expand via competitors
(using only the ✅ resolved seeds):
get_competitors_from_identifiers(identifiers=[resolved_seeds], competitor_source="all")
Validate expanded universe:
get_info_from_identifiers(identifiers=[new_competitors])
Apply the same triage. Filter by
simple_industry
matching the target sector. Drop any unresolved names or subsidiaries.
If the user provides specific companies, add those directly but still run them through the pre-validation triage. Never skip validation — even well-known brand names can fail silently.
Keep the universe manageable — aim for 15–40
resolved, operating
companies per sector. For a multi-sector digest, this might total 50–100+ companies.
Step 3: Pull Funding Rounds
For all companies in the universe:
get_rounds_of_funding_from_identifiers(
identifiers=[batch],
role="company_raising_funds",
start_date="YYYY-MM-DD",
end_date="YYYY-MM-DD"
)
Process in batches of 15–20 if the universe is large.
After each batch, identify companies with empty results.
For any company expected to have activity:
Retry with the legal entity name or alternate identifier (see Entity Resolution rules above).
Log the company as "no data" only after exhausting fallbacks.
Collect all
transaction_id
values from successful results, then enrich with detailed round info:
get_rounds_of_funding_info_from_transaction_ids(
transaction_ids=[all_funding_ids]
)
Pass ALL transaction IDs in a single call (or small number of calls) rather than one per transaction — the tool handles batches efficiently.
Extract the following from each round (critical for the slide):
transaction_id
— needed for the Capital IQ deal link
Announcement date
— when the round was publicly announced
Close date
— when the round officially closed
Amount raised
Pre-money valuation
(if disclosed)
Post-money valuation
(if disclosed)
Lead investors
Round type (Series A, B, C, etc.)
Security terms
Advisors
Pricing trend (up-round / down-round / flat)
Dates are required.
The announcement and close dates must always appear in the final slide's deal table. If only one date is available, show it and mark the other as "—".
Step 4: Pull Company Context for Notable Deals
For any company involved in a significant deal (large round, notable valuation shift), get a brief description:
get_company_summary_from_identifiers(identifiers=[notable_companies])
This adds context to the narrative (e.g., "The company, an AI infrastructure startup founded in 2021, is expanding into...").
Step 5: Identify Highlights & Trends
Before designing the slide, analyze the data to surface the story:
Flag as "Notable":
Rounds ≥ $100M
Down rounds (pricing trend = down)
New unicorns (post-money valuation crossing $1B)
Significant valuation jumps (post-money ≥ 2x the last known valuation)
Repeat raisers (same company raising again within 6 months)
Unusually large investor syndicates
Identify Trends:
Total capital deployed this period vs. typical (if historical data available)
Which sub-sectors are hottest (most rounds, most capital)
Round stage distribution (is early-stage or late-stage dominating?)
Most active investors across the digest
Geographic concentration
Valuation trends (are pre-money valuations compressing or expanding?)
Select Key Takeaways (3–5):
Distill the most important signals into 3–5 concise bullet-style takeaways. These are the centerpiece of the slide. Each takeaway should be one sentence, punchy, and data-backed.
Examples:
"AI sector raised $2.4B across 8 rounds — 3x the prior week, led by a $800M mega-round from [Company] at a $12B post-money valuation."
"[Company] closed a $200M Series D at $3.5B pre-money, up from $1.8B in its Series C — signaling strong demand for AI developer tools."
"Down-round activity ticked up: 2 of 6 late-stage rounds priced below prior valuations."
Step 6: Generate Company Logos
For each company featured in the key takeaways or notable deals, generate a logo using a two-tier local pipeline.
Do not use Clearbit
(
logo.clearbit.com
) — it is deprecated and consistently fails. External logo CDNs (Brandfetch, logo.dev, Google Favicons) require API keys or are blocked by network restrictions. Instead, use the following approach:
Tier 1:
simple-icons
npm Package (3,300+ Brand SVGs, No Network Required)
The
simple-icons
package bundles high-quality SVG icons for thousands of well-known brands. It works entirely offline — no API keys, no network calls. Install it alongside
sharp
for SVG → PNG conversion:
npm
install
simple-icons sharp
Lookup strategy:
const
si
=
require
(
'simple-icons'
)
;
const
sharp
=
require
(
'sharp'
)
;
// Find an icon by exact title match (case-insensitive)
function
findSimpleIcon
(
companyName
)
{
// Try exact match first
for
(
const
[
key
,
val
]
of
Object
.
entries
(
si
)
)
{
if
(
!
key
.
startsWith
(
'si'
)
||
!
val
||
!
val
.
title
)
continue
;
if
(
val
.
title
.
toLowerCase
(
)
===
companyName
.
toLowerCase
(
)
)
return
val
;
}
// Try without common suffixes (AI, Inc., Corp.)
const
stripped
=
companyName
.
replace
(
/
\s
*
(
AI
|
Inc
.
?
|
Corp
.
?
|
Ltd
.
?
)
$
/
i
,
''
)
.
trim
(
)
;
if
(
stripped
!==
companyName
)
{
for
(
const
[
key
,
val
]
of
Object
.
entries
(
si
)
)
{
if
(
!
key
.
startsWith
(
'si'
)
||
!
val
||
!
val
.
title
)
continue
;
if
(
val
.
title
.
toLowerCase
(
)
===
stripped
.
toLowerCase
(
)
)
return
val
;
}
}
return
null
;
}
// Convert SVG to PNG with the brand's official color
async
function
simpleIconToPng
(
icon
,
outputPath
)
{
const
coloredSvg
=
icon
.
svg
.
replace
(
'<svg'
,
<svg fill="#
${
icon
.
hex
}
"
)
;
await
sharp
(
Buffer
.
from
(
coloredSvg
)
)
.
resize
(
128
,
128
,
{
fit
:
'contain'
,
background
:
{
r
:
255
,
g
:
255
,
b
:
255
,
alpha
:
0
}
}
)
.
png
(
)
.
toFile
(
outputPath
)
;
}
Coverage:
~43% of typical deal flow companies (strong for major tech brands like Stripe, Anthropic, Databricks, Snowflake, Discord, Shopify, SpaceX, Mistral AI, Hugging Face; weaker for niche fintech, biotech, or early-stage companies).
Tier 2: Initial-Based Fallback via
sharp
(100% Coverage)
For companies not found in
simple-icons
, generate a clean initial-based logo as a PNG:
async
function
generateInitialLogo
(
companyName
,
outputPath
)
{
const
initial
=
companyName
.
charAt
(
0
)
.
toUpperCase
(
)
;
const
svg
=
<svg width="128" height="128" xmlns="http://www.w3.org/2000/svg">
<circle cx="64" cy="64" r="64" fill="#BDBDBD"/>
<text x="64" y="64" font-family="Arial, Helvetica, sans-serif"
font-size="56" font-weight="bold" fill="#FFFFFF"
text-anchor="middle" dominant-baseline="central">
${
initial
}
</text>
</svg>
;
await
sharp
(
Buffer
.
from
(
svg
)
)
.
png
(
)
.
toFile
(
outputPath
)
;
}
Complete Pipeline
async
function
fetchLogo
(
companyName
,
outputDir
)
{
const
fileName
=
companyName
.
toLowerCase
(
)
.
replace
(
/
[
\s
.
]
+
/
g
,
'-'
)
+
'.png'
;
const
outPath
=
path
.
join
(
outputDir
,
fileName
)
;
// Tier 1: Try simple-icons
const
icon
=
findSimpleIcon
(
companyName
)
;
if
(
icon
)
{
await
simpleIconToPng
(
icon
,
outPath
)
;
return
{
path
:
outPath
,
source
:
'simple-icons'
}
;
}
// Tier 2: Generate initial-based fallback
await
generateInitialLogo
(
companyName
,
outPath
)
;
return
{
path
:
outPath
,
source
:
'initial-fallback'
}
;
}
Logo guidelines:
Save all logos to
/home/claude/logos/[company-name].png
All logos are 128×128 PNG with transparent backgrounds
On the slide, display logos at 0.35"–0.5" tall — they're accents, not focal points
Initial-fallback circles use gray (
BDBDBD
) fill with white text — consistent with the monochrome palette
Never mix logo styles randomly — if most companies resolve to brand icons, the few fallbacks should blend in naturally
Step 7: Generate the One-Page PPTX
Read
/mnt/skills/public/pptx/SKILL.md
and
/mnt/skills/public/pptx/pptxgenjs.md
before creating the slide.
Create a
single-slide
PowerPoint using
pptxgenjs
. The slide should be information-dense but visually clean — think "executive dashboard" not "wall of text."
Slide Layout
┌─────────────────────────────────────────────────────────────┐
│ DEAL FLOW DIGEST │
│ [Period] · [Sectors] [Date] │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
│ │ $X.XB │ │ N │ │ $X.XB │ │ $X.XB │ │
│ │ Raised │ │ Rounds │ │ Avg Pre │ │ Largest │ │
│ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │
│ │
│ KEY TAKEAWAYS │
│ ───────────────────────────────────────────────── │
│ [Logo] Takeaway 1 text goes here... │
│ [Logo] Takeaway 2 text goes here... │
│ [Logo] Takeaway 3 text goes here... │
│ [Logo] Takeaway 4 text goes here... │
│ │
│ TOP DEALS │
│ ┌──────────────────────────────────────────────────────────┐│
│ │Company│Type │Announced│Closed│Amount│Pre-$│Post-$│Lead│🔗││
│ │───────│─────│─────────│──────│──────│─────│──────│────│──││
│ │ ... │ ... │ ... │ ... │ ... │ ... │ ... │... │🔗││
│ └──────────────────────────────────────────────────────────┘│
│ │
│ [Footer: Deal Flow Digest · Sources: S&P Global Capital IQ]│
│ [Footer: AI Disclaimer] │
└─────────────────────────────────────────────────────────────┘
Design Specifications
Color philosophy: Minimal, monochrome-first.
The slide should feel like a high-end financial brief — black, white, and gray dominate. Color is used
only
where it carries meaning (e.g., a red indicator for a down round, a green indicator for a standout metric) or where the reader would naturally expect it (company logos). Never use color for purely decorative purposes like background fills, accent bars, or gradient effects.
Color palette — Monochrome Executive:
Primary background:
FFFFFF
(white) — clean, open slide background
Header bar:
1A1A1A
(near-black) — strong contrast for the title region
Primary text:
1A1A1A
(near-black) — all body text, stat numbers, takeaways
Secondary text:
6B6B6B
(medium gray) — labels, captions, footer, date stamps
Borders & dividers:
D0D0D0
(light gray) — subtle structural lines, card outlines, table borders
Card backgrounds:
F5F5F5
(off-white / very light gray) — stat card fills, alternating table rows
Link text:
2B5797
(muted blue) — Capital IQ deal links in the table (the only blue on the slide)
Semantic color (sparingly):
Down rounds or negative signals:
C0392B
(muted red) — use only as a small dot, tag, or single-word highlight, never as a fill or background
Standout positive metrics (new unicorn, outsized round):
2E7D32
(muted green) — same minimal usage: a dot, a small tag, or a single highlighted number
If no data points warrant a color indicator,
use no color at all
. A fully monochrome slide is perfectly correct.
Typography:
Title: 28–32pt, bold, white on near-black header bar
Stat numbers: 36–44pt, bold, near-black
Stat labels: 10–12pt, medium gray (
6B6B6B
)
Takeaway text: 12–14pt, near-black, left-aligned
Table text: 9–11pt, near-black with gray (
6B6B6B
) for secondary columns
Link text: 9–10pt, muted blue (
2B5797
)
Footer: 8pt, medium gray
Stat Cards (top row):
4 key metrics as large-number callouts: Total Raised, # Rounds, Avg Pre-Money Valuation, Largest Round
Each in a card with
F5F5F5
fill and a thin
D0D0D0
border — no shadow, no color fills
If a stat is surprising or extreme (e.g., 3x normal volume, a record deal), a small colored dot or underline may be placed next to that single number — otherwise keep fully monochrome
If pre-money valuations are mostly undisclosed, substitute with a different metric (e.g., Median Round Size, # New Unicorns)
Key Takeaways (middle section):
3–5 one-line takeaways, each prefixed with the relevant company logo (small, ~0.35" tall)
If no logo available, use a
gray circle
with the company initial in white — not a colored circle
Left-aligned, with enough spacing to breathe
Down-round or negative takeaways may use a small red dot prefix; otherwise no color
Include valuation context where available (e.g., "at a $5B post-money valuation")
Top Deals Table (bottom section):
Compact table showing the 4–6 most notable deals
Columns: Company, Type (Series X), Announced (date), Closed (date), Amount ($M), Pre-Money ($M), Post-Money ($M), Lead Investor, Deal Link
Announced
and
Closed
columns show dates in
MMM DD
format (e.g., "Jan 15"). These columns are required and must always be present. If a date is not available, show "—".
The
Deal Link
column contains a clickable "View →" text linking to Capital IQ:
https://www.capitaliq.spglobal.com/web/client?#offering/capitalOfferingProfile?id=https://www.capitaliq.spglobal.com/web/client?#offering/capitalOfferingProfile?id=
${
transactionId
}
}
,
color
:
"2B5797"
,
fontSize
:
9
,
fontFace
:
"Arial"
}
}
Table Centering (pptxgenjs):
Always center the deal table on the slide. Calculate the x position dynamically:
const
SLIDE_W
=
13.33
;
// 16:9 slide width
const
TABLE_W
=
12.5
;
// total table width (sum of all column widths)
const
TABLE_X
=
(
SLIDE_W
-
TABLE_W
)
/
2
;
// ≈ 0.42"
slide
.
addTable
(
tableRows
,
{
x
:
TABLE_X
,
y
:
tableY
,
w
:
TABLE_W
,
colW
:
[
1.8
,
0.9
,
0.9
,
0.9
,
1.0
,
1.1
,
1.2
,
1.6
,
0.7
]
,
// Company, Type, Announced, Closed, Amount, Pre-$, Post-$, Lead, Link
// ... other options
}
)
;
Adjust
colW
values as needed, but always recompute
TABLE_X
from
(SLIDE_W - sum(colW)) / 2
to keep the table centered.
Footer:
Small text in medium gray: "Deal Flow Digest · [Period] · Sources: S&P Global Capital IQ · Generated [Date]"
General color rules (enforce strictly):
Company logos are the only "full color" elements on the slide — they appear as-is from the source.
Deal links use muted blue (
2B5797
) — this is the only non-monochrome text color besides semantic red/green.
Outside of logos and links, the slide should look correct printed on a black-and-white printer.
Never apply color to backgrounds, accent bars, decorative shapes, or section dividers.
When in doubt, leave it gray.
Code Structure
const
pptxgen
=
require
(
"pptxgenjs"
)
;
const
pres
=
new
pptxgen
(
)
;
pres
.
layout
=
"LAYOUT_16x9"
;
pres
.
title
=
"Deal Flow Digest"
;
const
slide
=
pres
.
addSlide
(
)
;
const
SLIDE_W
=
13.33
;
// 16:9 slide width in inches
// 1. Dark header bar with title and period
// 2. Stat cards row (4 cards: Total Raised, # Rounds, Avg Pre-Money, Largest Round)
// 3. Key takeaways section with logos (include valuation context)
// 4. Top deals table with Announced, Closed, Pre-Money, Post-Money columns and Capital IQ deal links
// - Center the table: x = (SLIDE_W - tableWidth) / 2
// 5. Footer
pres
.
writeFile
(
{
fileName
:
"/home/claude/deal-flow-digest.pptx"
}
)
;
Use factory functions (not shared objects) for shadows and repeated styles per the pptxgenjs pitfalls guidance.
Step 8: QA the Slide
Follow the QA process from the PPTX skill:
Content QA:
python -m markitdown deal-flow-digest.pptx
— verify all text, numbers, company names, valuation figures, and deal links are correct
Visual QA:
Convert to image and inspect:
python /mnt/skills/public/pptx/scripts/office/soffice.py
--headless
--convert-to pdf deal-flow-digest.pptx
pdftoppm
-jpeg
-r
200
deal-flow-digest.pdf slide
Check for overlapping elements, text overflow, alignment issues, low-contrast text, logo sizing problems, and that deal link text is visible.
Link QA:
Verify that the Capital IQ URLs in the table are correctly formatted with the right transaction IDs.
Fix and re-verify
— at least one fix-and-verify cycle before declaring done.
Step 9: Present Results
Copy the final
.pptx
to
/mnt/user-data/outputs/
Use
present_files
to share the slide
Provide a 2–3 sentence verbal summary:
"Your digest covers X rounds totaling $Y raised across [sectors]."
Call out the single most notable deal and its valuation
Flag any concerning trends (down rounds, valuation compression, etc.)
Error Handling
Entity Resolution Failures
Empty results for a known company:
First check
get_info_from_identifiers
— if that fails, try the alias from
references/sector-seeds.md
or the
company_id
directly. Common brand→legal mismatches: Together AI → "Together Computer, Inc.", Character.ai → "Character Technologies, Inc.", Runway ML → "Runway AI, Inc.".
Subsidiary companies:
DeepMind, GitHub, Instagram, WhatsApp, YouTube, BeReal, etc. are subsidiaries — they have zero independent funding rounds. Note these as "acquired/subsidiary" in context but do not report them as "no activity."
Defunct companies:
Companies like Convoy (shut down Oct 2023) still resolve in S&P Global but will never have new activity. The
references/sector-seeds.md
file flags these — check it before including a company.
get_funding_summary_from_identifiers
errors or returns zeros:
Fall back to
get_rounds_of_funding_from_identifiers
— the summary tool is less reliable. Never rely on the summary tool as the sole data source.
Wrong
role
parameter:
If investor-perspective queries return empty, verify you're using
company_investing_in_round_of_funding
, not
company_raising_funds
(and vice versa).
Data Quality Issues
No activity in period:
If a sector had zero funding rounds, note this explicitly on the slide ("No transactions recorded in [Sector] during the period") — absence of activity is itself informative.
Sparse valuation data:
If pre-money and post-money valuations are undisclosed for most transactions, note the data limitation in a footer annotation and use "—" in the table. Adjust the stat card to show a different metric (e.g., Median Round Size) instead of Avg Pre-Money.
Logo retrieval failures:
The
simple-icons
npm package provides ~43% coverage for typical deal flow companies. For the remainder, use the
sharp
-generated initial-based fallback. Keep a consistent icon style — don't mix random approaches. If
simple-icons
or
sharp
fail to install, fall back to pptxgenjs shape-based initials (gray ellipse + white text overlay) which require no external dependencies.
Too many deals for one slide:
If there are more than 6 notable deals, show the top 6 in the table and add a footnote: "+N additional deals not shown." Prioritize by deal size.
Large universes:
For multi-sector digests with 100+ companies, batch all API calls in groups of 15–20. Prioritize depth on notable deals over completeness on minor ones.
Stale seeds:
If competitor expansion returns very few results for a sector, the seed companies may be too niche. Broaden by adding 2–3 more well-known names and re-expanding.
Invalid transaction IDs for links:
If a
transaction_id
from the funding tool doesn't produce a valid Capital IQ URL, omit the link cell for that row rather than including a broken link.
Example Prompts
"Give me a weekly deal flow digest for AI and fintech"
"Summarize this week's funding in biotech"
"Deal roundup for my coverage — cybersecurity, cloud infrastructure, and dev tools — last 2 weeks"
"What happened in venture this week across all sectors I follow?"
"Quick deal flow slide for climate tech this month"
funding-digest
安装
npx skills add https://github.com/anthropics/financial-services-plugins --skill funding-digest