Pressure-test a character by speaking or reasoning strictly from that character's current voice, goals, relationships, emotional pressure, and knowledge boundary without creating canon by accident.
Scanned 9/9/2026
Install to Claude Code
Skills Directorynpx -y skills add badgids/Story-Film-Skills --skill character-sim --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Character Sim?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/badgids-character-sim-story-film-skills)More formats (shields.io, HTML) on the badges page.
---
name: character-sim
description: Pressure-test a character by speaking or reasoning strictly from that character's current voice, goals, relationships, emotional pressure, and knowledge boundary without creating canon by accident.
disable-model-invocation: true
author: Alan Guice (Badgids)
license: Apache-2.0
---
# Character Sim
## Workflow
1. Read core contract, `REVIEW_PROTOCOLS.md`, the character bible, canon, and `01_story/story_state.json` if present.
2. Define the exact story moment, character ID, immediate goal, relationship context, pressure, and knowledge boundary.
3. Simulate only from facts the character can know at that moment. Future revelations and narrator-only facts are unavailable.
4. Preserve the character's established vocabulary, rhythm, evasions, habits, contradictions, and pressure behavior.
5. Use the simulation for voice discovery, dialogue testing, relationship pressure, or decision plausibility.
6. If the result suggests a useful new fact, record it as a proposal. Do not silently add it to canon or story state.
7. Save durable tests under `00_project/reviews/` only when future work needs the record.
## Done
The simulation is internally consistent with the character's knowledge and state, and no improvised detail was promoted to canon without an upstream decision.
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!
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.
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', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
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.
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling
