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 content-led-growthgit 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/content-led-growth)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/content-led-growth"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/content-led-growth/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/content-led-growth"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/content-led-growth.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00081 | $0.00629 |
| Opus 5 | $0.00041 | $0.00315 |
| Sonnet 5 | $0.00016 | $0.00126 |
| Haiku 4.5 | $0.00008 | $0.00063 |
Grade A, and why
content-led-growth 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 10d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content-Led Growth — Topic Clusters for Search Intent
Overview
Content-led growth turns a website into a compounding acquisition asset by covering the topics your buyers search, organized as pillar + cluster pages that build topical authority. It's slow to start and durable once it works — the opposite of paid, which stops when spend stops. The unit of strategy is search intent, not keywords in isolation.
The Process
- Map buyer questions by intent — informational (learn), commercial (compare), transactional (buy). Mine real questions (sales calls, communities, search).
- Choose pillar topics you can credibly own (tied to your positioning and best-fit audience).
- Build clusters — a pillar page + supporting articles answering the sub-questions, interlinked. Gate: publishing scattered posts with no cluster/interlink structure = no topical authority.
- Match format to intent — comparison/ROI pages convert; how-to pages attract; don't force a buy CTA onto a learn query.
- Earn authority — depth, primary sources, and links beat volume of thin posts.
- Measure the right lag — rankings/traffic move over months; track leading signals (indexing, impressions) early. Gate: judging content by week-1 conversions kills the channel prematurely.
When to Use
- Need for durable, non-paid acquisition
- Buyers who research before buying
- SMBs/creators without large ad budgets
Applying It Well
- Bottom-of-funnel commercial pages first (fastest revenue), then widen.
- One strong cluster beats fifty orphan posts.
- Repurpose one pillar into social/email/video (feeds a content-calendar agent).
Red Flags
- Keyword stuffing without intent match.
- Orphan posts, no pillar/cluster structure.
- Abandoning the channel before the multi-month payoff.
Verification
- Topics mapped to search intent
- Pillar + interlinked clusters, not orphan posts
- Format matched to intent
- Leading indicators tracked over a realistic horizon
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.
- 10d ago First seen · 44 lines · 81 tokens per session scan A de9aef2b61c0
content-led-growth is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 8d ago), licensed MIT. It adds 81 tokens to every session and 629 once invoked, about $0.0004 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.
plan-payroll
Plans payroll cash: true loaded cost per hire (gross plus employer taxes, benefits, tools), a payroll calendar with cutoffs and cash-out dates, a scenario table for new hire vs raise vs contractor-vs-employee, and a payroll-to-revenue check against rough industry bands. Use when the user asks "can I afford to hire"…
cto-advisor
Records technical decisions that serve a business outcome: constraints, architecture options, build-or-buy tradeoffs, and a justified skill selection. Use when the CEO asks "which architecture fits", "should we build or buy", "which skill should this department use", or "review our technical plan".
ai-seo
Optimizes content to get cited by AI assistants (ChatGPT, Perplexity, Google AI Overviews) and rank in classic SERPs — entity-rich intros, question-shaped H2s, 40-60 word extractable answers, schema.org JSON-LD, llms.txt, internal links, and E-E-A-T signals. Runs in audit or rewrite mode. Use when the user says…