April 17, 2026
Happycapy + Claude Opus 4.7: Build Agentic Workflows That Actually Ship (2026)
TL;DR
- Claude Opus 4.7 (released April 16) is now available in Happycapy's model switcher
- 87.6% on SWE-bench — best coding benchmark of any Opus model
- Combine with Happycapy memory + skills for workflows that run without you
- Use xhigh effort for hard tasks, Haiku 4.5 for fast subtasks — all in one agent
- Three complete workflow templates below: code review, research pipeline, client reporting
Anthropic released Claude Opus 4.7 on April 16, 2026. It scores 87.6% on SWE-bench Verified — a 6.8-point jump over 4.6 — and ships with a new xhigh effort tier optimized for agentic coding. If you are already using Happycapy, the upgrade is automatic. But the interesting question is: how do you actually use a model this capable inside an agent framework?
This guide covers three complete workflow templates built specifically for Opus 4.7's strengths: autonomous code review, multi-source research pipelines, and automated client reporting.
Why Opus 4.7 + Happycapy Is Different from Claude Alone
When you open Claude.ai and use Opus 4.7, you get the model. When you use Opus 4.7 inside Happycapy, you get the model plus:
- Persistent memory — Opus 4.7 remembers your codebase conventions, client preferences, and past decisions across sessions
- 150+ built-in skills — web search, code execution, email, spreadsheets, and more, all callable within the same agent turn
- Multi-agent teams — spawn specialized subagents for research, writing, and review running in parallel
- Model routing — use Opus 4.7 for complex reasoning, Haiku 4.5 for fast subtasks, Gemini 3 for vision — all in one workflow
- Private workspace — your code and data stay in an isolated sandbox, not in shared infrastructure
Workflow 1: Autonomous Code Review Pipeline
Opus 4.7's /ultrareview command in Claude Code is powerful, but running it manually per file is slow. In Happycapy, you can build an agent that runs on a schedule, pulls your latest commits, runs the review, and emails you a structured report.
Happycapy agent prompt — code review workflow
Every morning at 9am: fetch the last 24 hours of commits from [repo], run /ultrareview on each changed file, group issues by severity (critical / high / medium), and send me a summary email with the top 3 items that need immediate attention. Skip whitespace-only changes.
With Opus 4.7's improved production task resolution (3× over 4.6 on Rakuten SWE-Bench), the review output catches more real bugs with fewer false positives than the same workflow on 4.6.
Workflow 2: Multi-Source Research Pipeline
Opus 4.7's sustained reasoning over long runs makes it ideal for deep research. Use Happycapy's web search skill to pull sources, Opus 4.7 to synthesize, and persistent memory to build a running knowledge base across sessions.
Happycapy multi-agent research prompt
Research [topic] using 3 parallel subagents: one covering academic sources, one covering industry reports, one covering recent news. Each subagent cites its sources. Merge the results, flag contradictions, and save to my research memory under [topic].
Workflow 3: Automated Client Reporting
Combine Opus 4.7's improved chart and document analysis (3.75MP vision) with Happycapy's spreadsheet and email skills to build a weekly reporting workflow that runs without you.
Client report workflow
Every Friday at 4pm: read this week's data from [spreadsheet URL], analyze trends vs. last week, generate a 3-paragraph executive summary, and email it to [client email] with the spreadsheet attached. Use the tone we agreed on last month (professional, data-first, no fluff).
The "tone we agreed on last month" clause is what makes this different from a simple API call. Happycapy's memory layer stores your previous instructions across sessions — Opus 4.7 never needs to be re-briefed.
Model Selection Guide: When to Use Opus 4.7 in Happycapy
| Task type | Best model in Happycapy | Effort tier |
|---|---|---|
| Complex bug fixes, multi-file refactor | Claude Opus 4.7 | xhigh or max |
| Long-form research synthesis | Claude Opus 4.7 | high |
| PDF / chart / dense document analysis | Claude Opus 4.7 | standard |
| Fast subtasks (summaries, rewrites) | Claude Haiku 4.5 | standard |
| Creative writing, brainstorm | GPT-5.4 | standard |
| Real-time multimodal tasks | Gemini 3.1 Pro | standard |
Use Claude Opus 4.7 in Happycapy
Opus 4.7, GPT-5.4, Gemini 3, and 150+ skills in one workspace. Free plan available.
Try Happycapy FreeFrequently Asked Questions
Does Happycapy support Claude Opus 4.7?
Yes. Opus 4.7 is available in Happycapy's model switcher. Select it from any session to use it alongside Happycapy's persistent memory, skills, and multi-agent coordination.
How is Happycapy different from using Claude.ai directly?
Claude.ai gives you the model. Happycapy gives you the model inside a full agent framework with persistent memory, 150+ skills, multi-agent teams, and a private workspace. The underlying model (Opus 4.7) is the same — everything around it is different.
What is the xhigh effort tier?
A new Anthropic inference tier between high and max, optimized for cost-performance on coding and agentic tasks. Available in Happycapy's Deep Think mode.