AI & ML

peterbamuhigire Skill

Use when building Python agents with the OpenAI Agents SDK, including runners, tools, handoffs, guardrails, tracing, memory, multi-agent topology, and deterministic orchestration.

peterbamuhigire Bundle

Use when integrating an LLM provider into an application with streaming, structured outputs, tool calls, embeddings, multi-model routing, retries, caching, and usage metering.

goldenzero Bundle

Estimates price elasticity of demand for retail/CPG products using historical sales and pricing data to quantify the expected volume impact of price changes. Use when the user wants to understand price sensitivity, model price change scenarios, optimize pricing, or evaluate the revenue/margin trade-off of price adjustments. Triggers on requests about price elasticity, price sensitivity, demand curves, pricing optimization, or price-volume trade-offs.

waterplanai Skill

Installs and configures VoiceMode MCP for voice interactions in the target client. Triggers on keywords: setup voice, voice mode, install voicemode, configure voice

thebeardedbearsas Skill

Orchestrate dozens-to-hundreds of subagents from a script Claude writes (Claude Code Dynamic Workflows, trigger `ultracode`). Use when a task exceeds a single agent's context or needs more than ~4 concurrent workers — large audits, migrations, multi-source research, fan-out reviews. Distinct from Agent Teams (synchronous, ≤4 workers) and ralph-run (sequential single-context loop).

thebeardedbearsas Skill

Onboarding einer Paperclip-Instanz — installieren, CEO-Operator bootstrappen, Company via Dashboard erstellen, ersten Agent einstellen, Plugin installieren. Verwenden Sie dies beim Bootstrapping oder Verdrahten von Claude Code in Paperclip.

peterbamuhigire Bundle

Use when modeling, metering, attributing, billing, or controlling AI usage costs across tenants, plans, features, providers, and agent workloads.

peterbamuhigire Bundle

Use when generating or repairing layered AGENTS.md project guidance from verified repository structure, technology, data, and planning conventions.

peterbamuhigire Bundle

Use when creating or upgrading reusable skills, specialist-role instructions, or vendor adapters. Covers agent-versus-skill boundaries, model-neutral canonical sources, triggers, capability and output contracts, progressive disclosure, validation, and repository quality gates.

peterbamuhigire Bundle

Use when writing, refining, or structuring prompts for AI-powered app features — system prompts, user prompt templates, few-shot examples, chain-of-thought, prompt versioning, and defensive prompting

zhaog100 Bundle

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

zhaog100 Bundle

Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model agnes-2.5-flash] [--notify-channel -1002381931352]

zhaog100 Bundle

Browser automation and web scraping with Playwright. Forms, screenshots, data extraction. Works standalone or via MCP. Testing included.

zhaog100 Bundle

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

zhaog100 Bundle

Switch AI models and providers. Supports LongCat, Agnes AI. Use when user asks to change model, switch provider, or optimize for coding/thinking/cheap tasks.

zhaog100 Bundle

AI Agent 团队 - 61 个专业 Agent，8 大部门，完整的 AI 代理机构。支持单 Agent 使用和多 Agent 协作编排。

oliver-kriska Bundle

Recall prior work from past sessions — how a bug was fixed, what was; Use when asked 'have we done this before'…

peterbamuhigire Bundle

Use when designing agent tool catalogs, tool schemas, action gating, human approval, and human-in-the-loop control for agentic AI systems.

goldenzero Bundle

Interpret and explain fraud detection signals, model outputs, and suspicious patterns across payment, identity, and account fraud typologies. Use when analyzing fraud alerts, explaining model scores, investigating fraud rings, or documenting fraud case findings for consumer and commercial banking.

goldenzero Bundle

Explain readmission risk drivers using LACE index scoring, clinical and social determinant analysis, and targeted intervention recommendations. Use when assessing 30-day readmission risk, explaining readmission prediction model outputs, designing readmission reduction interventions, or reporting on Hospital Readmissions Reduction Program metrics.

zhaog100 Bundle

AI Agent调试与可观测性平台 — 零接入Agent追踪+失败分析+浪费检测+子代理监控

oliver-kriska Bundle

Fix Elixir/Phoenix code until Codex CLI review comes back clean; Use when codex is installed and you want an external…

peterbamuhigire Bundle

Use when auditing or tuning a development machine's Claude Code or Codex setup for context, model, subagent, permission, or token efficiency. Analyse local capabilities first and apply only supported reversible changes; route runner-specific details to the linked adapters.

peterbamuhigire Skill

Use when reviewing new, imported, or changed skills for unsafe tools, installers, credential harvesting, hidden execution, prompt injection, excessive permissions, data exfiltration, or improperly retained third-party source content.

goldenzero Bundle

Generate incident postmortem reviews for financial institution operational events. Use when conducting root cause analysis, documenting operational incidents, preparing lessons-learned reports, assessing control failures, or creating management and board-ready incident reviews aligned with OCC Heightened Standards, FFIEC guidance, and the Three Lines of Defense model.

oliver-kriska Bundle

Recall prior work from past sessions — how a bug was fixed, what was decided, where a pattern lives. Use when asked 'have we done this before' or 'how did I fix X' in Elixir/Phoenix work. ccrider MCP when available, else git + solution docs.

peterbamuhigire Bundle

Use when adding forecasting, classification, regression, or anomaly detection to a SaaS feature — demand/sales/cash-flow forecasting, churn and risk scoring, anomaly detection — with scikit-learn, Prophet, and statsmodels. Covers data prep, model serving, monitoring, and explainability.

peterbamuhigire Skill

Use when coordinating or auditing multi-engine workflows, agent roles, command surfaces, hooks, evidence contracts, handoffs, or bounded recovery. Keeps domain doctrine in the owning engines.

oliver-kriska Bundle

Fix Elixir/Phoenix code until Codex CLI review comes back clean — bounded review, fix, verify loop before opening a PR. Use when codex is installed and you want an external cross-model critic on your changes before pushing.

peterbamuhigire Bundle

Use when mapping AI agent operations to SOC 2, ISO 27001, HIPAA, audit logs, control testing, attestations, and compliance evidence.

peterbamuhigire Bundle

Use when red-teaming agent tool and data perimeters for indirect prompt injection, action escalation, tenant exfiltration, unsafe tool chains, self-modification, or containment regressions.

peterbamuhigire Bundle

Use when designing multi-tenant agent runtimes, control loops, state machines, retries, idempotency, step caps, durable resumability, scheduling, cancellation, and workflow boundaries.

peterbamuhigire Bundle

Use when pricing, billing, refunding, recognizing revenue, or packaging commercial terms for agentic AI services and outcomes.

peterbamuhigire Bundle

Use when defining agent budgets, step limits, reversibility, blast-radius controls, kill switches, and governance policy for agentic AI systems.

peterbamuhigire Bundle

Use when building the observability stack for AI features in a multi-tenant SaaS — prompt/response tracing, semantic logging, replay tooling, "show me why this answer", per-stage latency/cost breakdown, ticket→trace tie-back, and dashboards that answer the operational questions (which tenant, which feature, which prompt version, which model).

v1truv1us-ai-eng-system Bundle

Relationship-aware retrieval using graph traversal, entity anchors, community expansion, and hybrid vector plus graph search. Use when chunk similarity alone misses paths, entities, or subsystem context.