Agent skill

Soc Innovation Diffusion

by asgard-ai-platform in asgard-ai-platform/skills

Apply Rogers' Diffusion of Innovations theory to analyze how new products, ideas, or technologies spread through populations.

MITAuto-check passed

Install Soc Innovation Diffusion

skills CLI
$ npx skills add asgard-ai-platform/skills --skill soc-innovation-diffusion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install asgard-ai-platform/skills soc-innovation-diffusion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/soc-innovation-diffusion .claude/skills/soc-innovation-diffusion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
soc-innovation-diffusion
GitHub stars
242
Token cost
~1.5k tokens
SKILL.md length
500 words
Files
3 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply Rogers' Diffusion of Innovations theory to analyze how new products, ideas, or technologies spread through populations.

  • Works in 5 steps: Pick a beachhead segment: ONE specific… → Deliver a whole product: Not just the… → Win the segment completely: Become the… → …
  • The user needs to plan adoption strategy
  • SKILL.md covers Overview, Framework, Output Format and Examples, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Soc Innovation Diffusion is an agent skill from asgard-ai-platform/skills. Apply Rogers' Diffusion of Innovations theory to analyze how new products, ideas, or technologies spread through populations. Use this skill when the user needs to plan adoption strategy, segment adopters, cross the chasm from early adopters to mainstream, or predict adoption curves — even if they say 'how do we get more people to use this', 'why isn't our product taking off', or 'how do we reach the mainstream'.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `examples/sample_scenario.md` and `references/chasm-strategy.md`).

The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.

When your agent uses it

  • The user needs to plan adoption strategy
  • Segment adopters
  • Cross the chasm from early adopters to mainstream
  • Predict adoption curves — even if they say how do we get more people to use this

Example prompts

  • “how do we get more people to use this”
  • “why isn”
  • “how do we reach the mainstream”
  • “/soc-innovation-diffusion”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Pick a beachhead segment: ONE specific niche within the early majority
  2. Deliver a whole product: Not just the core product — the complete solution including support, integrations, documentation
  3. Win the segment completely: Become the de facto standard in that niche
  4. Use that win as reference: Pragmatists buy what other pragmatists use
  5. Expand to adjacent segments: Bowling pin strategy — each niche conquest enables the next

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Soc Innovation Diffusion loads about 1.5k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 500 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 500 words, ~1,457 tokens.

Download SKILL.mdSave it as .claude/skills/soc-innovation-diffusion/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
soc-innovation-diffusion
description
Apply Rogers' Diffusion of Innovations theory to analyze how new products, ideas, or technologies spread through populations. Use this skill when the user needs to plan adoption strategy, segment adopters, cross the chasm from early adopters to mainstream, or predict adoption curves — even if they say 'how do we get more people to use this', 'why isn't our product taking off', or 'how do we reach the mainstream'.
metadata.category
WP-18 社會科學院
metadata.tags
social-science, innovation-diffusion, adoption

Diffusion of Innovations

Overview

Rogers' theory describes how innovations spread through a population in a predictable S-curve pattern, with five adopter categories that require different strategies. Moore's "Crossing the Chasm" extends this by identifying the critical gap between early adopters and the early majority.

Framework

IRON LAW: The Chasm Is Real — Early Adopters ≠ Mainstream

Visionaries (early adopters) buy because it's NEW and they can tolerate
imperfections. Pragmatists (early majority) buy because it WORKS and
others already use it. These are fundamentally different buyer psychologies.

Success with early adopters does NOT predict mainstream success.
The strategy that wins innovators will FAIL with the majority.
The Five Adopter Categories
Category% of PopulationMotivationStrategy
Innovators2.5%Technology enthusiasts, thrill of the newTech specs, early access, "be the first"
Early Adopters13.5%Visionaries, strategic advantage seekersVision alignment, ROI potential, case studies
Early Majority34%Pragmatists, want proven solutionsReferences, complete solution, low risk
Late Majority34%Conservatives, follow the herdIndustry standard, peer pressure, simplicity
Laggards16%Skeptics, tradition-boundNecessity, no alternative, bundled with required product
The Chasm (Moore)

The gap between Early Adopters (16%) and Early Majority (34%) is where most innovations die. To cross:

  1. Pick a beachhead segment: ONE specific niche within the early majority
  2. Deliver a whole product: Not just the core product — the complete solution including support, integrations, documentation
  3. Win the segment completely: Become the de facto standard in that niche
  4. Use that win as reference: Pragmatists buy what other pragmatists use
  5. Expand to adjacent segments: Bowling pin strategy — each niche conquest enables the next
Five Factors Affecting Adoption Speed
FactorDefinitionFaster Adoption When...
Relative advantageHow much better than the current solutionMuch better, obvious improvement
CompatibilityFit with existing values, practices, infrastructureMinimal change required
ComplexityEase of understanding and useSimple to grasp and use
TrialabilityCan it be tested before committing?Free trial, freemium, pilot available
ObservabilityCan others see the results?Visible outcomes, shareable results

Output Format

markdown
# Diffusion Analysis: {Innovation}

## Innovation Profile
| Factor | Assessment | Implication |
|--------|-----------|------------|
| Relative advantage | H/M/L | {detail} |
| Compatibility | H/M/L | {detail} |
| Complexity | H/M/L (lower = better) | {detail} |
| Trialability | H/M/L | {detail} |
| Observability | H/M/L | {detail} |

## Current Adoption Stage
- Estimated penetration: {X%}
- Current adopter category: {Innovators / Early Adopters / Chasm / Early Majority / etc.}

## Chasm Strategy (if applicable)
- Beachhead segment: {specific niche}
- Whole product gaps: {what's missing for a complete solution}
- Reference strategy: {how to get pragmatist references}

## Adoption Acceleration Plan
1. {action to improve weakest adoption factor}

Examples

Show full SKILL.md (226 more words)Show less
Correct Application

Scenario: Adoption analysis for a new AI code review tool

  • Current stage: ~500 users, mostly developer influencers and tech leads → Early Adopters
  • Chasm risk: High — early adopters love the AI suggestions, but engineering managers (early majority) worry about false positives and security
  • Beachhead: Mid-size fintech companies (high code review burden, security-conscious, willing to adopt proven tools)
  • Whole product gap: Missing SOC 2 compliance documentation, no JIRA integration, no team admin dashboard → Early majority won't adopt without these ✓
Incorrect Application
  • "We have 500 passionate users, so we're ready to go mainstream" → 500 early adopters does not mean the product is ready for pragmatists. The chasm requires a fundamentally different strategy. Violates Iron Law.

Gotchas

  • Product-market fit for early adopters ≠ product-market fit for mainstream: Features that excite early adopters (customizability, cutting-edge tech) may overwhelm the majority (who want simplicity and reliability).
  • The bowling pin strategy: After winning the beachhead, expand to adjacent niches that reference the first win. Don't jump to a completely different segment.
  • Network effects accelerate diffusion: Products with network effects (communication tools, platforms) follow steeper S-curves once they cross the tipping point.
  • Regression is possible: Adoption can reverse (Google Glass, Segway). Sustained adoption requires ongoing value delivery.
  • B2B diffusion is slower: Organizational adoption involves multiple decision-makers, procurement processes, and integration requirements. Plan for longer timelines.

References

  • For crossing the chasm playbook, see references/chasm-strategy.md

© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in soc-innovation-diffusion of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/chasm-strategy.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Soc Innovation Diffusion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Soc Innovation Diffusion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Soc Innovation Diffusion this skillasgard-ai-platform/skills242—~1.5kAutomated safety check: PassMIT
Product Lensaffaan-m/ECC276k2 repos~841Automated safety check: PassMIT
Productthedaviddias/Front-End-Checklist74k—~592Automated safety check: PassMIT
Production Add Diffusion Modelvllm-project/vllm-omni7.1k—~5.5kAutomated safety check: PassApache-2.0
Product Analyticsalirezarezvani/claude-skills28k1 repos~1.4kAutomated safety check: PassMIT
Product Strategyphuryn/pm-skills27k—~1.2kAutomated safety check: PassMIT

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Questions about Soc Innovation Diffusion

What does Soc Innovation Diffusion do?

Apply Rogers' Diffusion of Innovations theory to analyze how new products, ideas, or technologies spread through populations. Soc Innovation Diffusion is an agent skill from asgard-ai-platform/skills. Apply Rogers' Diffusion of Innovations theory to analyze how new products, ideas, or technologies spread through populations.

When should I use Soc Innovation Diffusion?

Soc Innovation Diffusion fits situations like: the user needs to plan adoption strategy; segment adopters; cross the chasm from early adopters to mainstream; predict adoption curves — even if they say how do we get more people to use this.

How do I install Soc Innovation Diffusion in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill soc-innovation-diffusion -a claude-code`. Or copy the skill folder (soc-innovation-diffusion in asgard-ai-platform/skills) into .claude/skills/soc-innovation-diffusion in your project. Claude Code loads it when a task matches its description.

How do I install Soc Innovation Diffusion in Codex?

Run `npx skills add asgard-ai-platform/skills --skill soc-innovation-diffusion -a codex`. Or copy the skill folder (soc-innovation-diffusion in asgard-ai-platform/skills) into .agents/skills/soc-innovation-diffusion in your project. Codex loads it when a task matches its description.

Can I use Soc Innovation Diffusion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill soc-innovation-diffusion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/soc-innovation-diffusion, .gemini/skills/soc-innovation-diffusion, .github/skills/soc-innovation-diffusion and .opencode/skills/soc-innovation-diffusion in your project.

What does Soc Innovation Diffusion need to run?

SKILL.md names no scripts, command-line tools or credentials: Soc Innovation Diffusion is instructions for the agent only.

Does Soc Innovation Diffusion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Soc Innovation Diffusion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Soc Innovation Diffusion use?

Soc Innovation Diffusion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Soc Innovation Diffusion use?

About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.7k tokens, read only when the agent opens those files.

What are the alternatives to Soc Innovation Diffusion?

Skills that share tags, products or a category with Soc Innovation Diffusion: Product Lens (affaan-m/ECC, 276k stars), Product (thedaviddias/Front-End-Checklist, 74k stars), Production Add Diffusion Model (vllm-project/vllm-omni, 7.1k stars) and Product Analytics (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Soc Innovation Diffusion?

asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.

Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.