feat: add generic content and investor skills

This commit is contained in:
Affaan Mustafa
2026-02-27 05:50:23 -08:00
parent 87fc2d5089
commit 706ee80069
24 changed files with 1331 additions and 3 deletions

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---
name: article-writing
description: Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
origin: ECC
---
# Article Writing
Write long-form content that sounds like a real person or brand, not generic AI output.
## When to Activate
- drafting blog posts, essays, launch posts, guides, tutorials, or newsletter issues
- turning notes, transcripts, or research into polished articles
- matching an existing founder, operator, or brand voice from examples
- tightening structure, pacing, and evidence in already-written long-form copy
## Core Rules
1. Lead with the concrete thing: example, output, anecdote, number, screenshot description, or code block.
2. Explain after the example, not before.
3. Prefer short, direct sentences over padded ones.
4. Use specific numbers when available and sourced.
5. Never invent biographical facts, company metrics, or customer evidence.
## Voice Capture Workflow
If the user wants a specific voice, collect one or more of:
- published articles
- newsletters
- X / LinkedIn posts
- docs or memos
- a short style guide
Then extract:
- sentence length and rhythm
- whether the voice is formal, conversational, or sharp
- favored rhetorical devices such as parentheses, lists, fragments, or questions
- tolerance for humor, opinion, and contrarian framing
- formatting habits such as headers, bullets, code blocks, and pull quotes
If no voice references are given, default to a direct, operator-style voice: concrete, practical, and low on hype.
## Banned Patterns
Delete and rewrite any of these:
- generic openings like "In today's rapidly evolving landscape"
- filler transitions such as "Moreover" and "Furthermore"
- hype phrases like "game-changer", "cutting-edge", or "revolutionary"
- vague claims without evidence
- biography or credibility claims not backed by provided context
## Writing Process
1. Clarify the audience and purpose.
2. Build a skeletal outline with one purpose per section.
3. Start each section with evidence, example, or scene.
4. Expand only where the next sentence earns its place.
5. Remove anything that sounds templated or self-congratulatory.
## Structure Guidance
### Technical Guides
- open with what the reader gets
- use code or terminal examples in every major section
- end with concrete takeaways, not a soft summary
### Essays / Opinion Pieces
- start with tension, contradiction, or a sharp observation
- keep one argument thread per section
- use examples that earn the opinion
### Newsletters
- keep the first screen strong
- mix insight with updates, not diary filler
- use clear section labels and easy skim structure
## Quality Gate
Before delivering:
- verify factual claims against provided sources
- remove filler and corporate language
- confirm the voice matches the supplied examples
- ensure every section adds new information
- check formatting for the intended platform

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interface:
display_name: "Article Writing"
short_description: "Write long-form content in a supplied voice without sounding templated"
brand_color: "#B45309"
default_prompt: "Draft a sharp long-form article from these notes and examples"
policy:
allow_implicit_invocation: true

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---
name: content-engine
description: Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
origin: ECC
---
# Content Engine
Turn one idea into strong, platform-native content instead of posting the same thing everywhere.
## When to Activate
- writing X posts or threads
- drafting LinkedIn posts or launch updates
- scripting short-form video or YouTube explainers
- repurposing articles, podcasts, demos, or docs into social content
- building a lightweight content plan around a launch, milestone, or theme
## First Questions
Clarify:
- source asset: what are we adapting from
- audience: builders, investors, customers, operators, or general audience
- platform: X, LinkedIn, TikTok, YouTube, newsletter, or multi-platform
- goal: awareness, conversion, recruiting, authority, launch support, or engagement
## Core Rules
1. Adapt for the platform. Do not cross-post the same copy.
2. Hooks matter more than summaries.
3. Every post should carry one clear idea.
4. Use specifics over slogans.
5. Keep the ask small and clear.
## Platform Guidance
### X
- open fast
- one idea per post or per tweet in a thread
- keep links out of the main body unless necessary
- avoid hashtag spam
### LinkedIn
- strong first line
- short paragraphs
- more explicit framing around lessons, results, and takeaways
### TikTok / Short Video
- first 3 seconds must interrupt attention
- script around visuals, not just narration
- one demo, one claim, one CTA
### YouTube
- show the result early
- structure by chapter
- refresh the visual every 20-30 seconds
### Newsletter
- deliver one clear lens, not a bundle of unrelated items
- make section titles skimmable
- keep the opening paragraph doing real work
## Repurposing Flow
Default cascade:
1. anchor asset: article, video, demo, memo, or launch doc
2. extract 3-7 atomic ideas
3. write platform-native variants
4. trim repetition across outputs
5. align CTAs with platform intent
## Deliverables
When asked for a campaign, return:
- the core angle
- platform-specific drafts
- optional posting order
- optional CTA variants
- any missing inputs needed before publishing
## Quality Gate
Before delivering:
- each draft reads natively for its platform
- hooks are strong and specific
- no generic hype language
- no duplicated copy across platforms unless requested
- the CTA matches the content and audience

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interface:
display_name: "Content Engine"
short_description: "Turn one idea into platform-native social and content outputs"
brand_color: "#DC2626"
default_prompt: "Turn this source asset into strong multi-platform content"
policy:
allow_implicit_invocation: true

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---
name: investor-materials
description: Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
origin: ECC
---
# Investor Materials
Build investor-facing materials that are consistent, credible, and easy to defend.
## When to Activate
- creating or revising a pitch deck
- writing an investor memo or one-pager
- building a financial model, milestone plan, or use-of-funds table
- answering accelerator or incubator application questions
- aligning multiple fundraising docs around one source of truth
## Golden Rule
All investor materials must agree with each other.
Create or confirm a single source of truth before writing:
- traction metrics
- pricing and revenue assumptions
- raise size and instrument
- use of funds
- team bios and titles
- milestones and timelines
If conflicting numbers appear, stop and resolve them before drafting.
## Core Workflow
1. inventory the canonical facts
2. identify missing assumptions
3. choose the asset type
4. draft the asset with explicit logic
5. cross-check every number against the source of truth
## Asset Guidance
### Pitch Deck
Recommended flow:
1. company + wedge
2. problem
3. solution
4. product / demo
5. market
6. business model
7. traction
8. team
9. competition / differentiation
10. ask
11. use of funds / milestones
12. appendix
If the user wants a web-native deck, pair this skill with `frontend-slides`.
### One-Pager / Memo
- state what the company does in one clean sentence
- show why now
- include traction and proof points early
- make the ask precise
- keep claims easy to verify
### Financial Model
Include:
- explicit assumptions
- bear / base / bull cases when useful
- clean layer-by-layer revenue logic
- milestone-linked spending
- sensitivity analysis where the decision hinges on assumptions
### Accelerator Applications
- answer the exact question asked
- prioritize traction, insight, and team advantage
- avoid puffery
- keep internal metrics consistent with the deck and model
## Red Flags to Avoid
- unverifiable claims
- fuzzy market sizing without assumptions
- inconsistent team roles or titles
- revenue math that does not sum cleanly
- inflated certainty where assumptions are fragile
## Quality Gate
Before delivering:
- every number matches the current source of truth
- use of funds and revenue layers sum correctly
- assumptions are visible, not buried
- the story is clear without hype language
- the final asset is defensible in a partner meeting

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interface:
display_name: "Investor Materials"
short_description: "Create decks, memos, and financial materials from one source of truth"
brand_color: "#7C3AED"
default_prompt: "Draft investor materials that stay numerically consistent across assets"
policy:
allow_implicit_invocation: true

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---
name: investor-outreach
description: Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
origin: ECC
---
# Investor Outreach
Write investor communication that is short, personalized, and easy to act on.
## When to Activate
- writing a cold email to an investor
- drafting a warm intro request
- sending follow-ups after a meeting or no response
- writing investor updates during a process
- tailoring outreach based on fund thesis or partner fit
## Core Rules
1. Personalize every outbound message.
2. Keep the ask low-friction.
3. Use proof, not adjectives.
4. Stay concise.
5. Never send generic copy that could go to any investor.
## Cold Email Structure
1. subject line: short and specific
2. opener: why this investor specifically
3. pitch: what the company does, why now, what proof matters
4. ask: one concrete next step
5. sign-off: name, role, one credibility anchor if needed
## Personalization Sources
Reference one or more of:
- relevant portfolio companies
- a public thesis, talk, post, or article
- a mutual connection
- a clear market or product fit with the investor's focus
If that context is missing, ask for it or state that the draft is a template awaiting personalization.
## Follow-Up Cadence
Default:
- day 0: initial outbound
- day 4-5: short follow-up with one new data point
- day 10-12: final follow-up with a clean close
Do not keep nudging after that unless the user wants a longer sequence.
## Warm Intro Requests
Make life easy for the connector:
- explain why the intro is a fit
- include a forwardable blurb
- keep the forwardable blurb under 100 words
## Post-Meeting Updates
Include:
- the specific thing discussed
- the answer or update promised
- one new proof point if available
- the next step
## Quality Gate
Before delivering:
- message is personalized
- the ask is explicit
- there is no fluff or begging language
- the proof point is concrete
- word count stays tight

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interface:
display_name: "Investor Outreach"
short_description: "Write concise, personalized outreach and follow-ups for fundraising"
brand_color: "#059669"
default_prompt: "Draft a personalized investor outreach email with a clear low-friction ask"
policy:
allow_implicit_invocation: true

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---
name: market-research
description: Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
origin: ECC
---
# Market Research
Produce research that supports decisions, not research theater.
## When to Activate
- researching a market, category, company, investor, or technology trend
- building TAM/SAM/SOM estimates
- comparing competitors or adjacent products
- preparing investor dossiers before outreach
- pressure-testing a thesis before building, funding, or entering a market
## Research Standards
1. Every important claim needs a source.
2. Prefer recent data and call out stale data.
3. Include contrarian evidence and downside cases.
4. Translate findings into a decision, not just a summary.
5. Separate fact, inference, and recommendation clearly.
## Common Research Modes
### Investor / Fund Diligence
Collect:
- fund size, stage, and typical check size
- relevant portfolio companies
- public thesis and recent activity
- reasons the fund is or is not a fit
- any obvious red flags or mismatches
### Competitive Analysis
Collect:
- product reality, not marketing copy
- funding and investor history if public
- traction metrics if public
- distribution and pricing clues
- strengths, weaknesses, and positioning gaps
### Market Sizing
Use:
- top-down estimates from reports or public datasets
- bottom-up sanity checks from realistic customer acquisition assumptions
- explicit assumptions for every leap in logic
### Technology / Vendor Research
Collect:
- how it works
- trade-offs and adoption signals
- integration complexity
- lock-in, security, compliance, and operational risk
## Output Format
Default structure:
1. executive summary
2. key findings
3. implications
4. risks and caveats
5. recommendation
6. sources
## Quality Gate
Before delivering:
- all numbers are sourced or labeled as estimates
- old data is flagged
- the recommendation follows from the evidence
- risks and counterarguments are included
- the output makes a decision easier

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interface:
display_name: "Market Research"
short_description: "Source-attributed market, competitor, and investor research"
brand_color: "#2563EB"
default_prompt: "Research this market and summarize the decision-relevant findings"
policy:
allow_implicit_invocation: true