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notify-templates
Fixed-format templates for Slack alerts, supplier emails, and escalations. Load this whenever the task is "notify", "alert", "email", or "tell ops".
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
cwc-workshops
Workshop materials. Not maintained and not accepting contributions.
Materials from Anthropic-run Code with Claude workshops.
Workshops
rightmodel/— Picking the Right Model: use a Claude Code SKILL to audit an LLM eval suite and sweep it across models and inference parameters (extended thinking, effort) to find the best quality-per-dollar and quality-per-second configuration.agent-decomposition/— Compose Multi-Agent Systems with Skills and MCP: decompose a 400-line-prompt inventory agent into skills + code execution + callable_agents on Claude Managed Agents, with evals to verify each step.how-we-claude-code/— How We Claude Code: a three-phase walkthrough of an AI-assisted product workflow — interview to spec, four divergent design explorations as static HTML, and a Vite + React app whose components emit a machine-readable DOM contract so an agent (or CI) can verify them at runtime.ship-your-first-managed-agent/— Ship Your First Managed Agent: a Streamlit incident dashboard with an offline SRE Agent chat panel. You bring it online by implementing seven small functions inagent.py, each a single Claude Managed Agents API call — until it can grep a 70k-line log in its sandbox, call your local tools, and name the bad commit.agent-battle/— Agent Battle: a 45-minute competition to configure a Claude Managed Agent — system prompt, skills, MCP servers, model — that drives a local game bot over MCP. Most diamonds wins, fewest tokens breaks ties; a fast--evaldecision-probe loop lets you test config changes in ~30s before committing to a 5-minute run.agents-that-remember/— Agents That Remember: start with a Managed Agent that's visibly amnesiac across sessions, then layer in memory primitives one at a time — a memory store for cross-session persistence, then the Dreaming Service to consolidate past transcripts — going "goldfish to colleague" in 45 minutes.eval-driven-agent-development/— Eval-Driven Agent Development: iterate a PPTX-generating Managed Agent through six variants (naive → visual → typography → palette → density → QA-loop), scoring each against a 10-task suite with a two-layer grader (programmatic.pptxXML metrics + LLM-as-judge on rendered slides) so every prompt change is measured, not vibed.production-ready-agent/— Deal Desk: a chat-first UI over a multi-agent M&A research team on Claude Managed Agents — a coordinator delegates to four parallel research sub-agents, reads prior-deal lessons from a memory store, reaches Linear via MCP, and emits a graded investment thesis while the UI streams every event and gated tool call.research-desk/— The Research Desk: build an SEC-filings research desk on Claude Managed Agents behind a self-hosted Next.js console — say hello to a bare agent you wire up yourself, then promote that same agent (versioned update) into a head of research that dispatches one analyst session per ticker through a custom tool your server fulfils, with sub-agent specialists, an edgartools Skill, outcome-graded scorecards, a shared memory store, and a weekly memo deployment.
License
Apache License 2.0. See LICENSE.
// HOW IT'S BUILT
KEY FILES