Agent skill

Grad Disruptive Innovation

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

Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents.

MITAuto-check passed

Install Grad Disruptive Innovation

skills CLI
$ npx skills add asgard-ai-platform/skills --skill grad-disruptive-innovation -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills grad-disruptive-innovation --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/grad-disruptive-innovation .claude/skills/grad-disruptive-innovation && 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
grad-disruptive-innovation
GitHub stars
242
Token cost
~1.3k tokens
SKILL.md length
428 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents.

  • Works in 4 steps: Map Performance Trajectories → Identify the Foothold → Assess Disruption Potential → …
  • The user needs to evaluate whether a new entrant poses a disruptive threat
  • SKILL.md covers Overview, When to Use, Assumptions and Methodology, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grad Disruptive Innovation is an agent skill from asgard-ai-platform/skills. Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents. Use this skill when the user needs to evaluate whether a new entrant poses a disruptive threat, analyze why incumbents fail against inferior-but-cheaper alternatives, or design a disruption strategy targeting overserved customers.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/disruption-cases.md` and `references/performance-trajectory-model.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 evaluate whether a new entrant poses a disruptive threat
  • Analyze why incumbents fail against inferior-but-cheaper alternatives
  • Design a disruption strategy targeting overserved customers

Example prompts

  • “/grad-disruptive-innovation”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Map Performance Trajectories
  2. Identify the Foothold
  3. Assess Disruption Potential
  4. Recommend Response Strategy

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

Grad Disruptive Innovation loads about 1.3k tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 428 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.5k

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). 428 words, ~1,291 tokens.

Download SKILL.mdSave it as .claude/skills/grad-disruptive-innovation/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
grad-disruptive-innovation
description
Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents. Use this skill when the user needs to evaluate whether a new entrant poses a disruptive threat, analyze why incumbents fail against inferior-but-cheaper alternatives, or design a disruption strategy targeting overserved customers.
metadata.category
WP-24 創新與國際化
metadata.tags
disruptive-innovation, christensen, low-end-disruption, new-market-foothold, sustaining-innovation, incumbent-failure

Disruptive Innovation (Christensen, 1997)

Overview

Disruptive Innovation theory explains how smaller firms with fewer resources can successfully challenge established incumbents. Disruption occurs when entrants target overlooked segments (low-end or non-consumers) with simpler, cheaper offerings, then move upmarket as performance improves. Incumbents rationally focus on profitable mainstream customers and fail to respond until it is too late.

When to Use

Trigger conditions:

  • User asks why a startup with an inferior product is gaining market share
  • User needs to evaluate whether a new entrant is a disruptive or sustaining threat
  • User wants to design a market entry strategy targeting overserved customers
  • User mentions "disruption", "low-end market", or "good enough product"

When NOT to use:

  • For sustaining innovation management (incremental improvements) -> use stage-gate or innovation funnel
  • For platform-based competition -> use grad-platform-economics
  • For analyzing national-level innovation systems -> use grad-diamond

Assumptions

IRON LAW: Disruption Comes from BELOW

Disruption originates from the LOW END or NEW MARKET — never from a
superior product attacking head-on. Incumbents fail because they
OVER-SERVE mainstream customers, creating a performance overshoot that
opens space for simpler, cheaper alternatives.

If the entrant competes on the SAME performance dimensions as the
incumbent, it is sustaining innovation — NOT disruption.
  • Performance trajectories improve faster than customer needs evolve
  • Incumbents are rational — they chase higher margins upmarket
  • Disrupted markets have identifiable overserved segments

Methodology

Step 1: Map Performance Trajectories

Plot the incumbent's performance improvement trajectory against the range of customer needs (low-end to high-end). Identify where performance overshoots what mainstream customers can absorb.

Step 2: Identify the Foothold

Classify the entrant's strategy:

  • Low-end foothold: Targets overserved customers with a cheaper, simpler, "good enough" product (e.g., discount airlines vs full-service carriers)
  • New-market foothold: Targets non-consumers who previously could not access the product at all (e.g., personal computers vs mainframes)
Step 3: Assess Disruption Potential

Evaluate three conditions:

  1. Performance overshoot exists — mainstream customers do not use all features they pay for
  2. Entrant has an upmarket migration path — the simpler product can improve over time
  3. Incumbent has asymmetric motivation — responding means cannibalizing high-margin business
Show full SKILL.md (149 more words)Show less
Step 4: Recommend Response Strategy

For incumbents: autonomous business unit, acquire the disruptor, or create own low-end offering. For entrants: stay below the radar, improve incrementally, move upmarket only when ready.

Output Format

markdown
# Disruption Assessment: {Industry/Company}

## Performance Trajectory Analysis
- Incumbent performance vector: {key dimensions}
- Customer need threshold: {what "good enough" looks like}
- Overshoot zone: {where incumbent exceeds needs}

## Entrant Classification
- Type: Low-end foothold / New-market foothold / Sustaining (NOT disruptive)
- Target segment: {who the entrant serves}
- Core advantage: {why target segment prefers entrant}

## Disruption Potential: High / Medium / Low
1. Performance overshoot: {Yes/No — evidence}
2. Upmarket path: {Yes/No — mechanism}
3. Asymmetric motivation: {Yes/No — why incumbent won't respond}

## Strategic Recommendations
- For incumbent: {specific response}
- For entrant: {next moves}

Gotchas

  • Not every innovation is disruptive: Uber was NOT disruptive to taxis by Christensen's definition — it started in the high end. Label precisely.
  • Disruption is a process, not an event: It unfolds over years or decades. A snapshot analysis misses trajectory dynamics.
  • Incumbents CAN respond: Disruption is not inevitable. Autonomous business units (e.g., IBM PC division) can counter disruption.
  • Technology alone is not disruption: The business model matters as much as the technology. A better mousetrap sold at higher prices is sustaining innovation.
  • Beware hindsight bias: Many "disruption" narratives are retrofitted. Apply the framework prospectively with testable predictions.

References

  • For mathematical formalization of performance trajectories, see references/performance-trajectory-model.md
  • For case studies (steel minimills, disk drives), see references/disruption-cases.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 3 other files (references) in grad-disruptive-innovation of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/disruption-cases.md
  • references/performance-trajectory-model.md

Open the folder on GitHubat commit 4e7f4f8

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Questions about Grad Disruptive Innovation

What does Grad Disruptive Innovation do?

Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents. Grad Disruptive Innovation is an agent skill from asgard-ai-platform/skills. Apply Christensen's Disruptive Innovation theory to assess low-end and new-market threats to incumbents.

When should I use Grad Disruptive Innovation?

Grad Disruptive Innovation fits situations like: the user needs to evaluate whether a new entrant poses a disruptive threat; analyze why incumbents fail against inferior-but-cheaper alternatives; design a disruption strategy targeting overserved customers.

How do I install Grad Disruptive Innovation in Claude Code?

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

How do I install Grad Disruptive Innovation in Codex?

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

Can I use Grad Disruptive Innovation 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 grad-disruptive-innovation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grad-disruptive-innovation, .gemini/skills/grad-disruptive-innovation, .github/skills/grad-disruptive-innovation and .opencode/skills/grad-disruptive-innovation in your project.

What does Grad Disruptive Innovation need to run?

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

Does Grad Disruptive Innovation 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 Grad Disruptive Innovation 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 Grad Disruptive Innovation use?

Grad Disruptive Innovation 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 Grad Disruptive Innovation use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 5.2k tokens, read only when the agent opens those files.

What are the alternatives to Grad Disruptive Innovation?

Skills that share tags, products or a category with Grad Disruptive Innovation: Acreadiness Assess (github/awesome-copilot, 40k stars), Relsa Severity Assessment (K-Dense-AI/scientific-agent-skills, 48k stars), Claude Code Skill Assessment (luongnv89/claude-howto, 42k stars) and Conducting Cyber Risk Assessment With Nist 800 30 (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grad Disruptive Innovation?

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.