synthesis-explore

The first idea-exploration stage of a growth-tactics process. It combines predefined business factors before naming any tactic, then identifies the new mechanisms that those combinations suggest.

In plain words
What is it for?
Use it to produce raw factor combinations and validated underlying mechanisms. It is for exploring new directions before writing specific growth tactics or execution steps.
Why use it?
It reduces the chance of repeating familiar marketing playbooks by starting with structural combinations instead of ready-made ideas. It also separates exploration from later tactic design.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/acogood/diffmode_free/synthesis-explore
Any agent
npx skills add acogood/diffmode_free --skill synthesis-explore
Clone the repo
git clone --depth 1 https://github.com/acogood/diffmode_free

Made for: Claude Code, Codex.

Per session 178 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,060 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00178 $0.05060
Opus 5 $0.00089 $0.02530
Sonnet 5 $0.00036 $0.01012
Haiku 4.5 $0.00018 $0.00506

Measured 2d ago against content hash f545841a7821, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

synthesis-explore scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/synthesis-explore/SKILL.md · 366 lines

How it starts

The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Synthesis — Explore (Phase 1 Blind Combinations → Phase 2 Emergent Mechanisms)

This is the FIRST synthesis stage. It fuses two jobs that MUST stay ordered: Phase 1 draws vector combinations BLIND (vector-first, before any tactic exists), and Phase 2 derives the NOVEL MECHANISM that emerges from each combination. Vector-first thinking is the novelty engine: you commit to combinations BEFORE knowing what tactic they might produce, which is how you escape conventional playbooks. Output: 15-20 raw vector combinations + 12-18 validated mechanisms. NO TACTIC NAMES. NO EXECUTION STEPS. (Tactic design is synthesis-build's job.)

Vectors and their definitions come from the per-run growth-factors.json (the LIGHT DB). Do NOT read tactics_DB/ (clean-room — moat-critical). The category structure and {prefix}-NNN-slug ID format are shared conventions; the specific IDs are whatever this run mined.

The two phases are WALLED — do them strictly in order

You MUST complete Phase 1 (blind draw + combinations) in FULL before starting Phase 2 (mechanisms). The output must physically PROVE this ordering: the section ## Blind Draw (IDs only) must precede ## Vector Combinations, which must precede ## Validated Mechanisms. If you catch yourself deriving a mechanism (Phase 2) before the blind draw and combinations (Phase 1) are written, STOP — you have broken the wall; go back.

Inputs & Output

The invoker provides (do not hardcode absolute paths):

  • WS/01-diagnostics/founder-input.md
  • WS/03-think-tanks/demand-generation/growth-factors.json (LIGHT vector DB — vector IDs, categories, mechanisms, transferability, saturation_risk)
  • WS/03-think-tanks/demand-generation/synthesis-constraints.json (mandatory pools, white space, prohibited combinations, category diversity)
  • WS/02-enrichment/audience-jtbd.md (trigger events + emotions)
  • Think-tank context (use if present): WS/03-think-tanks/demand-generation/cross-industry.md (transferable mechanisms worth combining), competitor-gaps.md (open channels/segments), platform-arbitrage.md (emerging-platform timing windows)
  • OUTPUT: WS/03-think-tanks/demand-generation/synthesis-explore.md

Read the full file on GitHub · 366 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 366 lines · 178 tokens per session scan A f545841a7821

Subscribe to this mod's changes

synthesis-explore is a skill published in the GitHub repository acogood/diffmode_free (160 stars, last pushed 22d ago), licensed Apache-2.0. It adds 178 tokens to every session and 5,060 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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