danielmiessler/lifeos/becreative

Claude Code and agent skill by danielmiessler/lifeos

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Single-pass divergent ideation via Verbalized Sampling: surfaces the strongest of several diverse candidates, or expands a seed corpus into an eval dataset. USE WHEN be creative, brainstorm, divergent ideas, creative solutions, maximum creativity, tree of thoughts, radically different, name this, creative angle, technical creativity, novel ideas, expand this corpus, synthetic data, generate diverse examples, create test set. NOT FOR evolving ideas over several rounds, multi-cycle ideation, breakthrough ideas, ideate or id8 (HillClimb Ideate), new causal explanations of a phenomenon (Novelty), or adversarial critique (RedTeam).

Install

npx vskill@latest install danielmiessler/lifeos/becreative

SKILL.md

BeCreative

Ask a model for "a creative idea" and you get the most probable one: the safe, already-seen answer. This skill pushes past that. Single-pass intents use Verbalized Sampling (generate several low-probability candidates, surface the strongest; see ResearchFoundation.md). SyntheticDataExpansion grows a small seed set into a diverse corpus. Ideas evolved over several rounds (a population of proposers, recombination with lineage, measured or cross-vendor fitness) are HillClimb's Ideate intent (skills/HillClimb/Intents/Ideate.md).

Ideal State

  • Each run surfaces several genuinely distinct candidates, compared against each other rather than by self-reported probability, and names the strongest for the brief.
  • The candidates differ in kind (different assumptions, framings, formats or domains), never one idea in five outfits.
  • When diversity is load-bearing, candidates are generated or judged across a second vendor, the lane chosen by whether the brief is taste-judged (Anthropic) or correctness-judged (OpenAI).
  • SyntheticDataExpansion returns a corpus measurably more diverse than its seed set: a higher diversity index from Tools/Diversity.ts index than the seed.
  • A request to evolve ideas over several rounds reaches HillClimb Ideate, never a single pass here.

Intent Routing

IntentTriggerFile
StandardCreativity"be creative", "think creatively", default creative tasksIntents/StandardCreativity.md
MaximumCreativity"maximum creativity", "most creative", "radically different"Intents/MaximumCreativity.md
IdeaGeneration"brainstorm", "ideas for", "solve this problem"Intents/IdeaGeneration.md
TreeOfThoughts"complex problem", "multi-factor", "explore paths"Intents/TreeOfThoughts.md
DomainSpecific"artistic", "business innovation", domain-specificIntents/DomainSpecific.md
TechnicalCreativity"technical creativity", algorithm or architecture ideasIntents/TechnicalCreativity.md
SyntheticDataExpansion"expand corpus", "synthetic data", "generate diverse examples", "create test set from these"Intents/SyntheticDataExpansion.md

"ideate", "id8", "evolve ideas", "breakthrough ideas", "multi-cycle ideation" and any request for several rounds route to HillClimb Ideate (skills/HillClimb/Intents/Ideate.md).

FileRead when
ResearchFoundation.mdthe Verbalized Sampling evidence base behind the single-pass intents
Setup.mdfirst-time setup: the OpenAI login TechnicalCreativity's second vendor needs, and a read-only check

Data & Config

User customizations, when present, live at <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/BeCreative/ (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude). Any PREFERENCES.md, configurations, or resources there override the defaults; when the directory does not exist, proceed with skill defaults.

First-time setup for the TechnicalCreativity vendor split is in Setup.md.

Gotchas

  • Verbalized Sampling adds nothing on tasks with one correct answer. Use it where many answers are valid. A hill climb has one metric but many valid changes, so VS applies to its proposals (HillClimb Ideate), never to its keep decision (2026-10-11 analysis).
  • The model's self-reported probabilities are not evidence of novelty. Compare the candidates to each other.
  • A single model's "diverse" set shares that model's defaults. When diversity really matters (TechnicalCreativity, and HillClimb Ideate's rosters), generate or judge on a second vendor through LIFEOS/TOOLS/Inference.ts --vendor.
  • Taste-judged briefs (voice, naming, visual concepts) belong on the Anthropic lanes; correctness-judged ones (algorithms, architectures) on the OpenAI lanes. Pick the --vendor accordingly when an intent calls a model directly.

Examples

User: "Brainstorm products we could build from a patent portfolio"
→ IdeaGeneration
→ The most breakthrough of five approaches that rest on different assumptions, with why it beats the conventional answer
User: "Divergent scene concepts for a blog header illustration"
→ DomainSpecific
→ A scene concept that breaks a real editorial-illustration convention, chosen on that domain's criteria and justified against them
User: "Evolve ideas for a new featured content collection over a few rounds"
→ HillClimb Ideate (not this skill)
→ Generations from a code-drawn roster across bands and vendors, judge-scored with spread since there is no metric, the stopping condition named, each generation persisted

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
19,063
Repository forks
2,469
7-day trend score
49

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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