Local AIPROPRO REQUIREDFC-AI-012
Context Claw
context-claw
Context window management: chunking strategies, long-context models, and context compression.
Context Claw optimizes context window usage with intelligent chunking, long-context model selection, and context compression techniques.
OpenClaw
Hermes
Claude Code
Codex
Cursor
Windsurf
Aider
OllamaPRIMARY ACTION
Unlock with ProCOMPATIBLE WITH
OpenClawHermesClaude CodeCodex+4
OpenClaw is the default target. Cursor example below.
When to Use
- Run local models with private workflows
- Tune inference for local hardware
- Choose effective GGUF variants
- Benchmark practical latency and quality
Compatible Frameworks
OpenClawHermesClaude CodeCodexCursorWindsurfAiderOllama8 TOOLS
Quality Gates
No explicit gate list for this agent in the current dataset.
4 GATES DEFINED
Expected Outputs
Native exports per tool
OpenClaw10 files
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 moreHermes5 files
hermes/skills/flickclaw/context-claw/SKILL.mdhermes/skills/flickclaw/context-claw/references/workflow.mdhermes/skills/flickclaw/context-claw/references/quality-gates.md+2 moreClaude Code6 files
claude-code/CLAUDE.mdclaude-code/.claude/skills/context-claw/SKILL.mdclaude-code/.claude/skills/context-claw/references/workflow.md+3 moreCodex5 files
codex/AGENTS.mdcodex/.flickclaw/agents/context-claw/codex.mdcodex/.flickclaw/agents/context-claw/workflow.md+2 moreCursor3 files
cursor/.cursor/rules/flickclaw-context-claw.mdccursor/.cursor/rules/flickclaw-context-claw-workflow.mdccursor/.cursor/rules/flickclaw-context-claw-quality-gates.mdcWindsurf3 files
windsurf/.windsurf/rules/flickclaw-context-claw.mdwindsurf/.windsurf/rules/flickclaw-context-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-context-claw-quality-gates.mdAider3 files
aider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlOllama4 files
ollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
OpenClaw
npm exec --yes @flickclaw/cli@latest -- install context-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with Context Claw to see what it can do:
Optimize the local model setup for performance. Benchmark current config and suggest improvements for .Example Output
IllustrativeWhat a typical Context Claw report looks like:
# Context Claw — Assessment Report **Project**: ollama-deployment **Context**: a local LLM deployment running Llama 3.1 8B on consumer GPU hardware **Generated**: 2026-05-26 ## Executive Summary The Context Claw completed its review of ollama-deployment (a local LLM deployment running Llama 3.1 8B on consumer GPU hardware). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P1** | Performance | Inference latency spikes to 8s under concurrency | Enable continuous batching and set max_batch=4 | | 2 | **P2** | Memory | Model consumes 18GB VRAM, headroom insufficient | Switch to Q4_K_M quantization, target <12GB | | 3 | **P2** | Setup | No Modelfile with system prompt defined | Create Modelfile with role, constraints, and templates | ## Quality Gates - [✓] no_fake_claims - [✓] chunking_strategy_documented - [✓] long_context_model_supported ## Outputs Generated ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 0 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*