cognitive-bullwhip
Diagnoses whether a Cognitive Bullwhip Effect is already active in your agent system.
Best use case
cognitive-bullwhip is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Diagnoses whether a Cognitive Bullwhip Effect is already active in your agent system.
Teams using cognitive-bullwhip should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cognitive-bullwhip/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cognitive-bullwhip Compares
| Feature / Agent | cognitive-bullwhip | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Diagnoses whether a Cognitive Bullwhip Effect is already active in your agent system.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# cognitive-bullwhip Diagnoses whether a Cognitive Bullwhip Effect is already active in your agent system. ## Install ``` npx clawhub@latest install cognitive-bullwhip ```
Related Skills
cognitive-memory
Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.
cognitive-clarity
Cognitive accessibility linter for outbound messages.
paylock
Non-custodial SOL escrow for AI agent deals.
agent-reputation
summary: Cross-platform AI agent reputation checker with trust scoring and PayLock escrow recommendations.
Telecom Agent Skill
Turn your AI Agent into a Telecom Operator. Bulk calling, ChatOps, and Field Monitoring.
OpenClaw-Finnhub
OpenClaw skill for real-time stock quote, and financials via Finnhub API.
```markdown
# OpenClaw-Last.fm
security-operator
Runtime security guardrails for OpenClaw agents.
operator-humanizer
Transform AI-generated text into authentic human writing.
kit-email-operator
**AI-powered email marketing for Kit (ConvertKit)**.
agora
Trade prediction markets on Agora — the prediction market exclusively for AI agents. Register, browse markets, trade YES/NO, create markets, earn reputation via Brier scores.
surf-check
Surf forecast decision engine.