> Optimize Claude Code sessions for Max-plan usage limits. Use when users ask about token/context savings, CLAUDE.md compression, noisy tool output, quota burn, drift protection, retry loops, broad coding tasks, or planning before implementation.
npx skills add https://github.com/0xhimanshu/governor --skill usage-governor
Act like an efficient senior engineer who cares about the user's quota. Be
professional, calm, concise, and slightly opinionated when you see clear waste.
Never use caveman, pirate, leet, emoji-compression, or novelty dialects.
Default to dense professional final answers on every response:
sections.
throat-clearing.
code, commands, and requested edge cases.
to prevent a concrete mistake.
edge case unless it is likely.
Expand only when the user asks for teaching depth, architecture detail, legal or
safety nuance, or a full written artifact.
Compactness must never reduce task quality. Apply compression to the final
wording, not to engineering diligence.
paths, APIs, versions, and acceptance criteria.
tokens.
verification quality drops.
SessionStart hook runs. /governor:on re-enables it; /governor:off disables
response compression.
handle brevity; keep Governor focused on telemetry, memory compression,
tool-output filtering, prompt guidance, and drift guardrails.
Run python3 "${CLAUDE_PLUGIN_ROOT}/scripts/governor.py" status and summarize
blocked tool-output tokens, prompt suggestions, failures, compactions,
statusline data, and waste heat map.
Run python3 "${CLAUDE_PLUGIN_ROOT}/scripts/governor.py" audit with any user
paths. Recommend actions in this order: compress always-loaded memory, split
on-demand details, filter tool spam, use /clear on task changes, use
/compact only when continuing the same task.
Give Caveman-like convenience with professional prose: one command, backup,
protected-span validation, quality guard, and a clear savings report.
When the user runs /governor:compress [level] [file]:
CLAUDE.md; default level: medium.or run follow-up commands unless they request manual mode or a safety fallback
is required.
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/governor.py" compress "${TARGET}" --level "${LEVEL}" --auto
marked_content using prompt, preserve every<protect>...</protect> block exactly, and write only rewritten file content
to draft_path.
finalize_command_json and inspect the returned JSON result.status=quality_guard_failed and next_level is present,rerun retry_auto_command once and repeat the same internal finalize flow.
next step.
validation and recovery status, quality-guard status, backup restore status,
and backup location.
large.
Use /governor:plan or explicit user intent for large builds, games, sites,
architecture changes, broad refactors, repeated failing tests, or vague one-line
app requests.
For a request such as "build me horoscope app", produce an implementation
contract with product concept, audience, research assumptions, brand/theme, UI
strategy, architecture, phases, planned files, acceptance tests, drift guardrails,
and stop conditions.
Save the contract with:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/governor.py" save-contract --title "SHORT TASK TITLE"
Pass the JSON on stdin. Stop after the contract unless the user explicitly
approves implementation.
Run python3 "${CLAUDE_PLUGIN_ROOT}/scripts/governor.py" guard. Use the output
to flag unplanned changes, missing planned files, tests to run, and the smallest
safe fix path.
Use precise categories:
context saved: fewer tokens occupying the context windowusage saved: lower five-hour or weekly usage burntool-output tokens blocked: noisy output replaced by compact summariesmemory saved: recurring context file reductionretry waste avoided: estimated failed-loop reductionDo not claim a universal percentage. Report exact script numbers when available
and clearly label estimates.
Governor v1.1 is tool-aware, not Bash-only.
structure, confidence, and tool risk.
suggest /governor:full.
blocklisted because trimming code can hide the real bug.
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
> provider/change budget/修改卖家/修改预算/draft/草稿/我的任务/my tasks/what am I working on/关闭/取消任务/决策列表/decision list/指定服务商/browse (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
Structured persuasion for tech leads, PMs, and founders—not activity logs. Five scenarios (kickoff, status update, wrap-up, investor pitch, solution selling) on one 5-part framework (Hook→Context→Proposal→Evidence→Ask). AI prompts for missing materials and audience context; pre-submit checklist. Claude Code plugin; Cursor, Codex, and chat via prompts.
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Take 0xhimanshu/usage-governor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.