Plugin persona-sim from marketplace yrzhe-skills in Yrzhe/claude-skills. Commands read from the repo's manifest — 16 days ago.
What it installs
Skills (4)
persona-sim
Simulate feedback from statistically grounded virtual human populations. Use when the user wants to get product or copy feedback from a panel of diverse personas, predict group opinions or voting behavior, run social-experiment sandboxes, or compute a semantic gradient (SGO) for A/B ranking. Also tr
product-feedback-sim
Get structured feedback on a product, copy, pricing, or feature from a simulated panel of target users. Use when the user wants to rank A/B candidates, find persuadable-middle users, or compute a semantic gradient before shipping. Triggers on 产品反馈模拟, A/B 排序, SGO 梯度, persuadable middle, 50 个虚拟用户打分, 看
social-sandbox
Run a what-if social experiment — inject a policy, event, or information shock and observe how a simulated population responds. Use for hypothesis generation (not ground truth) on questions like "what if minimum wage doubled", "how would users react if we added feature X", "which demographics push b
vote-predict
Predict how a target population would vote, respond to a policy, or react to a political message. Use when the user wants a distribution (not a winner-take-all answer) across demographic segments, with calibration disclaimers. Triggers on 投票预测, 民意模拟, policy response, 政策反应, 选举模拟, 民意分布, 某群体怎么看.
Adaptive add-on policy and recovery layer that decides WHEN a coding agent should compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Deterministic 4-signal scorer (headroom/relevance/burden/continuity), zero-LLM pruning, state snapshots with secret redaction, host-capability-aware downgrade, self-installing hooks. Does not compact for you: it flags the moment + snapshots state + gates a triggered compaction; user runs /compact. No model calls, no network.
Multi-agent, multi-device activity pool + per-project context layer. Captures Claude Code, Codex, Cursor, Maestri, and browser-use sessions across machines via a private GitHub repo, and distills recent activity into AGENTS.md + CLAUDE.md + docs/agent-context/ so any AI agent entering the project picks up where the last one left off.
Capture a Mac app window as agent context — hover-pick a window, get a high-res screenshot plus Accessibility-tree text. Smart auto mode scroll-stitches scrollable windows into a seamless full-page image (sticky sidebars cropped, ratio-split tiles, silent, manual stop). Screenshot is primary context the agent reads with its own vision; AX text supplements. macOS only. No network, no model calls.
Cooking assistant for Chinese and Western cuisine. Recipes pulled from real sources — xiachufang, douguo, meishij, allrecipes, BBC Good Food, Food Network, TheMealDB — never fabricated. Ships with 604 pre-fetched recipes as evidence. Supports walkthroughs, ingredient-based suggestions, nutrition, pairing, and substitution advice.
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered workflows.
gbrain persona variant for coding agents: the brain-first coding skill set (retrieval, routing, ingest discipline, correction hygiene) — a curated subset of the full plugin. Install exactly one gbrain plugin per machine.
Create a proto-persona from current research, market signals, and team knowledge.
1 skill
deanpeters/Product-Manager-Skills 8,001
Maintain persona-sim?
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