Best fit
- 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.
affaan-m/ECC
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.
npx skills add https://github.com/affaan-m/ECC --skill "skills/investor-materials"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Build investor-facing materials that are consistent, credible, and easy to defend.
npx skills add https://github.com/affaan-m/ECC --skill "skills/investor-materials"The pinned source supports a structured brief, but not an expanded tutorial. Only detected inputs, outputs, and sections are shown.
331 source words · 10 usable sections
Best fit
Operations workflow
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
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
creating or revising a pitch deck
All investor materials must agree with each other.
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
Operations checklist
The source section “Core Workflow” has been checked.
The source section “When to Activate” has been checked.
The source section “Golden Rule” has been checked.
The source section “Asset Guidance” has been checked.
Choose a different workflow
Review investor-materials's use cases, installation, workflow, and original source instructions.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailUse when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailDistributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Build investor-facing materials that are consistent, credible, and easy to defend.
The source record exposes this install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/investor-materials". Inspect the command and pinned source before running it.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Review investor-materials's use cases, installation, workflow, and original source instructions.
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
Build investor-facing materials that are consistent, credible, and easy to defend.
All investor materials must agree with each other.
Create or confirm a single source of truth before writing:
If conflicting numbers appear, stop and resolve them before drafting.
Recommended flow:
If the user wants a web-native deck, pair this skill with frontend-slides.
Include:
Before delivering: