Agent skill

Generate Creative Ideas

by kapishdima in kapishdima/soundcn

Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques.

MITAuto-check passedAgent Workflows

Install Generate Creative Ideas

skills CLI
$ npx skills add kapishdima/soundcn --skill generate-creative-ideas -a claude-code

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

GitHub CLI
$ gh skill install kapishdima/soundcn generate-creative-ideas --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/kapishdima/soundcn.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/generate-creative-ideas .claude/skills/generate-creative-ideas && 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
generate-creative-ideas
GitHub stars
862
Token cost
~2.9k tokens
SKILL.md length
1,025 words
Files
15 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques.

  • Works in 4 steps: Define Content Pillars (3-5 themes) → Audience-First Ideation → Generate Ideas (use any technique from… → …
  • Generating ideas
  • SKILL.md covers Workflow, Situation -> Technique Matrix, Technique Quick Reference and Idea Evaluation, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Generate Creative Ideas is an agent skill from kapishdima/soundcn. Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques. Use when generating ideas, breaking creative blocks, brainstorming alternatives, or innovating.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including reference files (for example `.claude-plugin/plugin.json`, `SOURCES.md` and `references/content-ideation.md`).

It sits in Agent Workflows, covering Brainstorming. The repository describes itself as: 700+ curated UI sound effects for modern web apps. Browse, preview, and install sounds with a single command. Free and open source. The licence is MIT.

When your agent uses it

  • Generating ideas
  • Breaking creative blocks
  • Brainstorming alternatives

Example prompts

  • “/generate-creative-ideas”

Workflow steps

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

  1. Define Content Pillars (3-5 themes)
  2. Audience-First Ideation
  3. Generate Ideas (use any technique from matrix)
  4. Validate Before Creating

What it can do on your machine

Read from SKILL.md and the folder at commit 7cbfbb3. 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.

    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

Generate Creative Ideas loads about 2.9k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 1,025 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~19k

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 kapishdima/soundcn at commit 7cbfbb3, republished under its MIT licence (© kapishdima). 1,025 words, ~2,867 tokens.

Download SKILL.mdSave it as .claude/skills/generate-creative-ideas/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
generate-creative-ideas
description
Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques. Use when generating ideas, breaking creative blocks, brainstorming alternatives, or innovating.

Creativity Skill

Workflow

1. Ask       → "What problem/challenge?"
2. Context   → Understand current state BEFORE suggesting
3. Diagnose  → Match situation to technique(s)
4. Generate  → Walk through technique step-by-step
5. Evaluate  → Score and filter ideas
6. Develop   → Shape top ideas into actionable concepts
7. Output    → Structured ideas + next actions (Thai if user uses Thai)

Context questions (step 2):

  • "What do you currently do?"
  • "What have you tried?"
  • "What's working? What's not?"

Anti-pattern: Jumping to solutions without understanding context = generic noise


Situation -> Technique Matrix

SituationTechniquesCombination Recipe
Stuck / No ideasRandom Word, Forced Connections, Oblique StrategiesRandom Word -> Forced Connections -> Dot Vote
Need breakthroughFirst Principles, Challenging Assumptions, Combinatorial EngineHMW -> Worst Idea -> SCAMPER -> Brainwriting
Improve existingSCAMPER, Reverse Brainstorming, TRIZ-AISCAMPER -> Reverse Brainstorm -> Impact/Effort
Explore systematicallyMorphological Box, Six Thinking Hats, Constraint InjectionMorphological Box -> Constraint Injection -> Clustering
Reframe problemHow Might We (HMW), Jobs to be DoneHMW -> JTBD -> First Principles
Team ideation6-3-5 Brainwriting, Multi-Persona ParallelMind Map -> Brainwriting -> Affinity -> Multi-Vote
Too many ideasImpact/Effort Matrix, Idea Clustering, NAF ScoringClustering -> NAF Quick Score -> Impact/Effort
AI ideas too similarDivergence Guard, Constraint Injection, Incubation CyclingDivergence Guard -> Domain Shift -> Incubation
Technical/engineeringTRIZ-AI, First PrinciplesTRIZ -> First Principles -> Assumption Mapping
Cross-domain innovationCombinatorial Engine, Analogical ThinkingCombinatorial Engine -> Analogical -> Constraint
Content ideas (blog/video/course)Content Pillars, Audience Pain Points, Gap AnalysisPillars -> Pain Points -> SCAMPER -> Validate
Business/product ideasJTBD, Opportunity Canvas, Lean ValidationJTBD -> HMW -> Morphological -> ICE Score

Technique Quick Reference

Divergent (Generate)
TechniqueOne-liner
SCAMPER7 lenses: Substitute, Combine, Adapt, Modify, Put to other use, Eliminate, Reverse
Random WordRandom noun -> list attributes -> force connections to problem
Reverse Brainstorm"How to make it worse?" -> Invert each idea
First PrinciplesStrip to fundamentals -> Rebuild from scratch
Six Hats6 perspectives: Facts, Feelings, Risks, Benefits, Ideas, Process
HMWReframe as "How Might We [verb] for [user] so that [outcome]?"
Morphological BoxParameters x Variations matrix -> Combine systematically
Analogies"How does [other domain] solve this?"
AssumptionsList assumptions -> Challenge/invert each
Forced ConnectionsCombine 2 unrelated concepts
Jobs to be Done"When [situation], I want [motivation], so I can [outcome]"
Oblique StrategiesRandom creative prompts to break deadlocks
AI-Optimized (Generate + Diversify)
TechniqueOne-liner
Incubation CyclingGenerate -> Pause -> Fresh restart (no prior context) -> Compare
Combinatorial EngineAbstract -> Retrieve 3 domains -> Generalize -> Combine -> Instantiate
Multi-Persona ParallelRun 4+ personas SIMULTANEOUSLY (not sequentially)
Constraint InjectionAdd random constraint -> Force novel solutions
Divergence GuardForce opposite -> Domain shift -> Absurdity injection
TRIZ-AIApply inventive principles (segmentation, nesting, dynamization, etc.)
Tree of ThoughtsExplore multiple reasoning branches simultaneously (74% vs CoT 49%)
Convergent (Evaluate + Refine)
TechniqueOne-liner
NAF Quick ScoreRate Novelty + Attractiveness + Feasibility (1-10 each)
Impact/Effort Matrix2x2: Quick Wins, Big Bets, Fill-ins, Avoid
ICE ScoringImpact x Confidence x Ease (1-10 each)
Idea ClusteringGroup similar -> Name clusters -> Pick best from each
Dot VotingEach person gets 3-5 votes -> Surface favorites
Assumption MappingMap assumptions on Importance x Certainty -> Test riskiest first

Idea Evaluation

After generating ideas, ALWAYS offer evaluation. Default to NAF Quick Score.

NAF Quick Score (Default)
CriterionQuestionScale
NoveltyHow new/surprising is this?1-10
AttractivenessHow well does it solve the problem?1-10
FeasibilityHow realistic to implement?1-10

Interpretation:

  • Total 24-30: Strong candidate -> develop further
  • Total 18-23: Promising -> refine or combine
  • Total < 18: Weak -> park or discard
  • Feasibility 8+: Worth trying (remaining 20% is implementation)
  • High N+A but low F: Reframe feasibility barriers as new problems to solve
When to Use Which Evaluation
SituationMethod
Quick screening (5+ ideas)NAF or Dot Voting
Growth experimentsICE Scoring
Data-driven product decisionsRICE Scoring
Complex multi-criteriaWeighted Scoring Matrix
Visual team alignmentImpact/Effort 2x2

Rules:

  1. NEVER evaluate during divergent phase -- generate first, judge later
  2. Take a break between generating and evaluating (different mindset)
  3. Different idea types need different criteria (incremental vs disruptive)

Details: evaluation.md


Content Creator Mode

When ideating for blog posts, videos, courses, or social media:

Step 1: Define Content Pillars (3-5 themes)
Pillar = Core theme that reflects expertise + audience needs
Example: Excel -> [Formulas, Data Viz, Automation, Tips & Tricks, Career]
Show full SKILL.md (422 more words)Show less
Step 2: Audience-First Ideation
SourceQuestions
Pain PointsWhat frustrates them most?
QuestionsWhat do they repeatedly ask?
GapsWhat's poorly explained by competitors?
WishesWhat do they wish existed?
MistakesWhat common errors do they make?
Step 3: Generate Ideas (use any technique from matrix)

Apply creativity techniques TO the content pillars:

  • SCAMPER on existing popular content
  • Reverse brainstorm: "How to make the worst tutorial?"
  • Analogies: "How would Netflix teach Excel?"
Step 4: Validate Before Creating
[ ] Search demand? (keyword research)
[ ] Real audience pain point? (comments, surveys)
[ ] Can I add unique value? (gap analysis)
[ ] Fits my pillars? (strategy alignment)
[ ] Would I click this? (title/thumbnail test)
[ ] Can be repurposed? (1 piece -> 5+ formats)
Repurposing Chain
Blog post -> YouTube video -> Shorts/Reels -> Social posts -> Email -> Course module

Details: content-ideation.md


Idea Development Pipeline

Shape raw ideas into actionable concepts:

[Generate] -> [Cluster] -> [Evaluate] -> [Develop] -> [Validate] -> [Execute]
Quick Concept Card (for top ideas)
IDEA: [Name]
TAGLINE: [One compelling sentence]
PROBLEM: [What pain it solves]
SOLUTION: [How it works - 2-3 sentences]
TARGET USER: [Who benefits]
KEY INSIGHT: [The "aha" behind this]
EFFORT: [S / M / L]
BIGGEST RISK: [What could go wrong]
QUICKEST TEST: [How to validate cheaply]
NEXT STEP: [One concrete action]
Assumption Mapping (for important ideas)
  1. List assumptions: "What must be true for this to work?"
  2. Categorize: Desirability / Feasibility / Viability
  3. Map on 2x2: Importance (high/low) x Certainty (high/low)
  4. Test high-importance + low-certainty FIRST

Details: idea-pipeline.md


Output Formats

Use these when presenting ideas to the user:

Quick List (5+ ideas)
1. **[Idea Name]** -- [One-line description]
2. **[Idea Name]** -- [One-line description]
...
Scored List (after evaluation)
| # | Idea | N | A | F | Total |
|---|------|---|---|---|-------|
| 1 | ...  | 8 | 9 | 7 | 24    |
Concept Cards (top 3 ideas)

Use the Quick Concept Card format above for each top idea.

Comparison Matrix (deciding between options)
| Criteria     | Idea A | Idea B | Idea C |
|-------------|--------|--------|--------|
| Novelty     | 4/5    | 3/5    | 5/5    |
| Feasibility | 3/5    | 5/5    | 2/5    |
| Impact      | 5/5    | 3/5    | 4/5    |

AI Creativity Guidelines

Key Research Insights (2025-2026)
FindingImplication
Ask AI HOW to think, not WHAT to thinkProcess prompts > product prompts
Human-first ideation preserves diversityUser brainstorms first, THEN AI expands
LLMs match average creativity (52nd percentile)AI is a partner, not a replacement
Homogenization effect (g ~ -0.86)Use Divergence Guard actively
"Creative Scar" -- creativity drops after AI withdrawalDon't outsource all creative thinking
Tree of Thoughts: 74% vs CoT 49%Use ToT for complex creative tasks
Multi-LLM collaboration enhances originalityStack techniques, vary approaches
Only 0.28% of LLM ideas reach top 10% human creativityPush past first outputs aggressively
AI Role Rules
  • Best as: Exploration partner, constraint enforcer, analogy finder, elaborator
  • Avoid: Sole ideation source, final decision maker
  • Timing: After initial human ideation, not before
  • Override rate: Maintain 15-25% human override for optimal outcomes
Anti-Patterns
Don'tDo Instead
"Give me ideas for X""Give me 10 ideas for X that would surprise an expert"
Accept first outputsPush past 2-3 rounds; first ideas are "greatest hits"
Use AI before thinkingBrainstorm independently first, then expand with AI
"Be creative"Use specific technique (SCAMPER, constraints, personas)

Details: methodology.md | prompt-templates.md


References


  • /triz — Systematic innovation methodology (complements brainstorming)
  • /deep-research — Research inspiration and cross-industry solutions
  • /boost-intel — Critical evaluation of generated ideas
  • /design-business-model — Apply creative ideas to business models
  • /problem-solving — Structure the problem before ideating

© kapishdima, 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 14 other files (references) in .agents/skills/generate-creative-ideas of kapishdima/soundcn.

  • SKILL.md
  • .claude-plugin/plugin.json
  • SOURCES.md
  • references/content-ideation.md
  • references/evaluation.md
  • references/idea-pipeline.md
  • references/methodology.md
  • references/prompt-templates.md
  • references/random-words.md
  • references/techniques.md
  • research/research-1-evaluation.md
  • research/research-2-combinations.md
  • research/research-3-content-creators.md
  • research/research-4-ai-creativity.md
  • research/research-5-templates.md

Open the folder on GitHubat commit 7cbfbb3

Compare with similar skills

Generate Creative Ideas 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.

Generate Creative Ideas compared with similar skills
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LLM Councilgcpdev/llm-council-skill4611 repos~1kAutomated safety check: NotesMIT
Typesafe AIOpenAgentsInc/openagents4559 repos~2.5kAutomated safety check: PassMIT
Yao Meta Skillyaojingang/yao-meta-skill2.7k—~768Automated safety check: PassMIT
Trellis StartROYIANS/foliq-print-template-designer1356 repos~646Automated safety check: PassMIT

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Categories

Questions about Generate Creative Ideas

What does Generate Creative Ideas do?

Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques. Generate Creative Ideas is an agent skill from kapishdima/soundcn. Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques.

When should I use Generate Creative Ideas?

Generate Creative Ideas fits situations like: generating ideas; breaking creative blocks; brainstorming alternatives.

How do I install Generate Creative Ideas in Claude Code?

Run `npx skills add kapishdima/soundcn --skill generate-creative-ideas -a claude-code`. Or copy the skill folder (.agents/skills/generate-creative-ideas in kapishdima/soundcn) into .claude/skills/generate-creative-ideas in your project. Claude Code loads it when a task matches its description.

How do I install Generate Creative Ideas in Codex?

Run `npx skills add kapishdima/soundcn --skill generate-creative-ideas -a codex`. Or copy the skill folder (.agents/skills/generate-creative-ideas in kapishdima/soundcn) into .agents/skills/generate-creative-ideas in your project. Codex loads it when a task matches its description.

Can I use Generate Creative Ideas 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 kapishdima/soundcn --skill generate-creative-ideas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-creative-ideas, .gemini/skills/generate-creative-ideas, .github/skills/generate-creative-ideas and .opencode/skills/generate-creative-ideas in your project.

What does Generate Creative Ideas need to run?

SKILL.md names no scripts, command-line tools or credentials: Generate Creative Ideas is instructions for the agent only.

Does Generate Creative Ideas 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 Generate Creative Ideas 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 Generate Creative Ideas use?

Generate Creative Ideas 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 Generate Creative Ideas use?

About 2.9k tokens (SKILL.md is roughly 11k 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 16k tokens, read only when the agent opens those files.

What are the alternatives to Generate Creative Ideas?

Skills that share tags, products or a category with Generate Creative Ideas: Brainstorming (xpinjection/test-driven-spring-boot, 112 stars), LLM Council (gcpdev/llm-council-skill, 461 stars), Typesafe AI (OpenAgentsInc/openagents, 455 stars) and Yao Meta Skill (yaojingang/yao-meta-skill, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Generate Creative Ideas?

kapishdima (a GitHub user) maintains it in kapishdima/soundcn, which has 862 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on June 9, 2026.

Source: kapishdima/soundcn on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.