Claude Code Digest — Jun 07–Jun 10

The biggest shift this week: teams are stripping 60% of prescriptive skill text, then using hooks + MCP + Temporal to make Claude Code more reliable than prompt-only workflows.

5-minute enterprise sandbox setup

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🔥 60% Skill Diet: Replace Procedures with Constraints
Fable 5 migration guidance says long, step-by-step skills are degrading output. Audit `~/.claude/skills` for `temperature`, `budget_tokens`, and any “show your reasoning” instructions; collapse 6+ step recipes into goal + constraints, and reserve MUST/NEVER for money, deletions, or identity boundaries. 🔥 CLI-First Agents: Stop Burning 1,500+ Tokens on GraphQL
The strongest token-saving pattern this week is replacing raw GraphQL assembly with typed CLI commands, then pushing server-side hints via MCP. If your agent is hand-building JSON, you’re paying for syntax errors and judgment failures before it even does useful work. 📈 Hooks Beat Prompts for Reliability: Fix Context, Memory, and Missed Calls
Throughline, Caveat, and Spotter show the limit of CLAUDE.md: prompts can’t reliably prevent context bloat, past-trap memory, or missed tool calls. Move those behaviors into hooks so the enforcement happens at runtime, not in natural-language instructions.

Best Practices

Do audit `~/.claude/skills` and cut prescriptive steps by 60%
Before: long procedures, over-specified reasoning, and broad MUST/NEVER blocks that made Claude brittle. After: shorter goal+constraint skills that preserve flexibility and reduce output degradation. Do route Jira/Confluence workflows through MCP + Temporal
Before: agentic Jira automations died on retries, crashes, or approval delays. After: durable execution survives interruptions and resumes long-running work without losing state. Do use hooks for formatting, memory, and tool-call enforcement
Before: CLAUDE.md reminders got ignored once context grew. After: runtime hooks can auto-correct behavior, keeping context lean and catching failures the model would otherwise miss.

Tools & MCP

GitHits MCP — Searches real GitHub code so Claude Code can find undocumented APIs in live repos — useful when docs are missing and you need working C++ patterns fast. Prism v1.8 MCP Server — Lets Claude Code control caches, budgets, and routing from the terminal — cuts dashboard hopping and centralizes AI infra ops in 2 minutes. Throughline / Caveat / Spotter — Three hook-based npm tools that patch context bloat, stale-memory traps, and missed tool calls — stronger than prompt reminders because they execute automatically.

Multi-Agent Patterns

Durable Approval Loop with Temporal
Use MCP for tool access and Temporal for orchestration so a Jira workflow can pause for human approval, survive crashes, and resume exactly where it left off. Server-Pushed Hinting for Judgment Recovery
Instead of expecting the agent to infer everything from prompts, push hints from the server side via MCP so the model gets the missing context at decision time. Airlocked VM Workspace for Enterprise Isolation
Run Claude Code in a BitLocker-encrypted VM with an airlock drive so the agent only sees sanitized project files, not sensitive local work data.

Community Requests

• Native MCP server benchmarking for token cost, latency, and tool-call accuracy across real workflows
• A first-class hook profiler/debugger that shows which hook fired, what it changed, and how many tokens it saved
• A safer enterprise sandbox template for Claude Code with one-command BitLocker + VM + airlock setup