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.
npx skills add deciqAI/knowledge-skills --skill ansoff-matrixgit clone --depth 1 https://github.com/deciqAI/knowledge-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/deciqai/knowledge-skills/ansoff-matrix)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/ansoff-matrix"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/ansoff-matrix.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00116 | $0.02276 |
| Opus 5 | $0.00058 | $0.01138 |
| Sonnet 5 | $0.00023 | $0.00455 |
| Haiku 4.5 | $0.00012 | $0.00228 |
Grade A, and why
ansoff-matrix 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ansoff Matrix
Overview
Every growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is prioritization — selecting one primary direction and committing resources there — not listing all options simultaneously.
AI has compressed execution time for Market Development and Product Development moves, but the relative risk ordering still holds.
Composes with: swot-analysis (assess strengths per quadrant first); bcg-matrix (which BU needs growth, then Ansoff picks direction); porters-five-forces (validate target market attractiveness before committing).
When to Use
Apply when:
- Leadership is debating where to grow next without a shared framework
- Resources are spread across 4+ directions with no single bet resourced enough to win
- The firm is considering entering a new geography or demographic with an existing product
- A product team is developing a new product and needs strategic context
- A startup is past initial PMF and planning its next phase
- An AI-native company is weighing deeper penetration vs. new segments vs. shipping autonomous agents vs. diversifying — under rising AI capex, fast AI adoption, and AI-native competition
When NOT to use: single product with clear unsaturated demand (penetration is the obvious answer); portfolio-level resource allocation across existing BUs (BCG Matrix); industry-level competitive assessment (Porter's Five Forces first); evaluating a single acquisition or partnership deal.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar or has no concrete case → guide step by step.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 125 lines · 116 tokens per session scan A 9349e8767005
ansoff-matrix is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 6d ago), licensed MIT. It adds 116 tokens to every session and 2,276 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
edge-tts
Text-to-speech conversion using uvx edge-tts for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS…
mcp-deepwiki
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
tianqi
A weather-lookup workflow for Chinese locations, covering forecasts, hourly conditions, weather warnings, and daily-life indexes.
maishou
A price-comparison workflow for products sold through major Chinese online marketplaces. It searches listings and can retrieve product details, purchase links, and available coupons.
crypto-report
Get cryptocurrency market data. Get Binance AI analysis report. Get blockchain news updates.
compliance-check
Compliance pre-flight for a feature, campaign, or initiative — maps the data and activity involved, checks applicable regimes (privacy/GDPR-style, consumer protection, marketing rules, sector-specific), lists required approvals and notices, builds a gap list with remediation owners, and ends in a go/no-go…