Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
OpenClaw Token Optimizer
Optimize OpenClaw token usage and cost by auditing context injection, trimming workspace files (AGENTS.md/SOUL.md/MEMORY.md and daily memory), enabling promp...
skill openclawclawhub Free
Optimize OpenClaw token usage and cost by auditing context injection, trimming workspace files (AGENTS.md/SOUL.md/MEMORY.md and daily memory), enabling promp...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/openclaw-token-optimization.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ccjingeth
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Deliver a practical audit and configuration plan that cuts input tokens and unnecessary calls while keeping answer quality. Provide concrete config edits, workspace file trimming guidance, and a prioritized rollout plan.
1) Scope and locate configuration
Identify the OpenClaw config file location (common paths include ~/.openclaw/openclaw.json, .openclaw/openclaw.json, or project root config). List injected workspace files in scope (e.g., AGENTS.md, SOUL.md, TOOLS.md, IDENTITY.md, USER.md, HEARTBEAT.md, MEMORY.md, and memory/YYYY-MM-DD.md). Confirm provider and model support for prompt caching and memory search to avoid proposing unsupported keys.
2) Baseline token sources
Break input cost into buckets: system prompt, tool schema, workspace files, memory files, and conversation history. Use a rough sizing method if exact token counts are unavailable (e.g., characters/4 as a quick estimate) and call out that the estimate is approximate.
3) Input reduction (highest ROI)
Trim workspace files first. Target budgets: AGENTS.md: keep only essential agent rules and policies. SOUL.md: reduce to short persona bullets. MEMORY.md: keep durable facts only; archive the rest. memory/YYYY-MM-DD.md: prune or rotate daily logs. Remove unused workspace injections in config (e.g., if TOOLS.md or IDENTITY.md is unused). Prefer memory search over full-file injection for large memories. If using qmd, index only needed paths.
4) Cache and context control
Enable prompt caching for the primary model when supported. Set cacheRetention to a long window and keep a consistent system prompt to maximize cache hits. Configure heartbeat to keep the cache warm (e.g., ~55 minutes), using a low-cost model and a minimal heartbeat prompt. Enable context pruning with a TTL that matches the cache window to prevent unbounded history growth. Add compaction with memory flush so long sessions preserve durable decisions while clearing history.
5) Call reduction
Audit cron and scheduled tasks. Consolidate overlapping checks, reduce frequency, and move non-creative tasks to cheaper models. Configure delivery to be on-demand or only on change to avoid no-op calls.
6) Model strategy
Default to a cost-effective model for routine work and provide aliases for manual upgrades to premium models. Use subagents for parallel, isolated tasks with cheaper models to avoid bloating the main context.
7) Deliverables
Provide: A short audit summary and estimated savings. A concrete config patch or JSON snippet for openclaw.json. A list of files to trim, with before/after size targets. A phased rollout plan (quick wins first, then advanced options).
References
Use references/openclaw-token-optimization.md for configuration snippets, checklists, and qmd guidance.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/openclaw-token-optimization.md