STUNSPOT Stunspot's Guide to Sales Prospecting Strategy

Knowledge Packs — Stunspot’s Guide to Sales Prospecting Strategy

The knowledge-packs/ directory contains the actual model-facing corpus. The docs/ directory is only navigation and usage guidance.

Use this page to choose the right upload format for AI Projects, RAG systems, NotebookLM-style tools, long-context workspaces, local search, or report-level editing.

Use the compiled packs unless you have a specific reason not to.

They preserve the canon’s sequence while reducing file count from 16 individual reports to 5 grouped volumes. For most AI/RAG systems, this is the best balance between context coherence, upload ergonomics, and retrieval granularity.

Pack Types

Pack Type Files Path Best Use
Source reports 16 knowledge-packs/by-report/ Precise retrieval, selective upload, report-level citation, report editing, and narrow context loading.
Compiled packs 5 knowledge-packs/compiled-packs/ Recommended default: grouped coverage with lower file count and preserved canon sequence.
Omnibus 1 knowledge-packs/omnibus/ One-file import, local archive, full-corpus search, or strong long-context/RAG systems.

Format Selection

Use source reports when you need precision

Choose knowledge-packs/by-report/ when the target system benefits from small retrieval units or when you need to cite, inspect, replace, or edit a specific report.

This is the right format for:

Use compiled packs for most AI/RAG workflows

Choose knowledge-packs/compiled-packs/ when the system can ingest several medium-to-large files and you want the model to understand the sequence as a coherent doctrine.

This is the right format for:

Use the omnibus when one file is better than many

Choose knowledge-packs/omnibus/ when the target tool works best with one file, or when you need a local archive of the complete corpus.

This is the right format for:

Avoid the omnibus in weak retrieval systems that degrade on very large single files. Bigger is not always wiser; sometimes it is just a whale in a kiddie pool.

Source Reports

Code Source Report
A Market Systems, Organizational Change, and Demand Formation
B Macro-Financial Constraints & Zero-Rate Arbitrage Decay
C Signal, Evidence, and Commercial Epistemology
D Account Reality Models and Buyer-System Mapping
E Public Signals, Trigger Events, and Market Observation Systems
F Signal Interpretation, Pressure Detection, and Relevance Formation
G ICP Architecture, Segmentation Logic, and Market Prioritization
H Buyer Psychology, Decision Economics, and Behavioral Dynamics
I Stakeholder Cartography, Consensus Formation, and Political Navigation
J Buyer Risk Mitigation & The Procurement Gauntlet
K Message Engineering, Narrative Design, and Attention Economics
L Prospecting Systems, Channel Strategy, and Sequence Architecture
M Commercial Data Infrastructure, DataOps, and CRM Continuity
N Epistemic Transfer & The AE Handoff Architecture
O Conversion Systems, Funnel Economics, and Performance Analytics
P Failure Modes, Prospecting Pathologies, and Commercial Intervention Strategy

Compiled Packs

Volume Compiled Pack
Vol. 1 A-D Foundations of Commercial Reality and Signal
Vol. 2 E-G Demand-Signal Intelligence and Opportunity Discovery
Vol. 3 H-K Buyer Navigation, Commercial Influence, and Risk Mitigation
Vol. 4 L-N Pipeline Systems, Outbound Operations, and Epistemic Transfer
Vol. 5 O-P Diagnosis, Optimization, and Commercial Execution

Omnibus

Directory Policy