Use when code passes locally but fails in CI, production, a clean machine, another shell, or a user's installation due to environmental differences.
Scanned 9/3/2026
Install to Claude Code
Skills Directorynpx -y skills add ShugokiFable/Ultimate-AI-Starter-Bundle --skill environment-parity --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Environment Parity?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/shugokifable-environment-parity-06eabb4c)More formats (shields.io, HTML) on the badges page.
---
name: environment-parity
description: Use when code passes locally but fails in CI, production, a clean machine, another shell, or a user's installation due to environmental differences.
---
# Environment Parity
## Core rule
Compare the actual **environment** before rewriting code around a symptom.
Capture OS/architecture, shell, PATH resolution, runtime/tool versions, locale/encoding, environment variables, working directory, filesystem semantics, permissions, network/proxy, and dependency lock state. Compare local, **CI**, and **production**/user environments using the smallest set of facts that could change behavior.
Reproduce with the target environment or a faithful container/VM/runner when possible. Pin toolchains and make assumptions executable checks.
Do not "fix" a deterministic toolchain mismatch by regenerating artifacts under the wrong version. If parity cannot be achieved, make the environmental contract explicit and test both supported variants.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
