Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Percept Ambient
Continuously captures and summarizes ambient conversations to build a local knowledge graph for context-aware assistance without explicit commands.
skill openclawclawhub Free
Continuously captures and summarizes ambient conversations to build a local knowledge graph for context-aware assistance without explicit commands.
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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
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
- jarvis563
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
percept-ambient
Ambient intelligence mode β continuous context awareness without explicit commands.
What it does
Runs in the background, building a knowledge graph of conversations, entities, and relationships over time. Your agent passively learns context from ambient speech β who you talk to, what projects are active, what decisions were made β without needing explicit commands.
When to use
User wants always-on context awareness Agent needs background knowledge from daily conversations User asks "what do you know about [person/project]?" based on overheard context
Requirements
percept-listen skill installed and running percept-summarize skill installed (for entity extraction)
How it works
All conversations are continuously captured and summarized Entities (people, companies, projects, topics) extracted automatically Relationships mapped between entities (works_on, client_of, mentioned_with) Context packets assembled on demand for any agent action Full-text search (FTS5) + vector search (LanceDB) for retrieval
Context packets
When your agent needs context, Percept assembles a Context Packet: { "recent_conversations": [...], "resolved_entities": [...], "relationships": [...], "relevant_history": [...] } This gives the agent rich situational awareness without loading entire conversation histories.
Vector search
Semantic search over utterances using NVIDIA NIM embeddings (primary) with all-MiniLM-L6-v2 as offline fallback. Stored in LanceDB (local, zero-infra). # Search via dashboard (port 8960) or API curl localhost:8960/api/search?q=project+deadline&mode=hybrid
Privacy controls
All data stored locally in SQLite + LanceDB TTL auto-purge (configurable retention periods) No audio stored β only transcripts Dashboard β Settings β Privacy for granular controls
Real-time dashboard
Monitor ambient intelligence at http://localhost:8960: Live conversation feed Entity graph visualization Search across all conversations Analytics and usage stats
Links
GitHub: https://github.com/GetPercept/percept
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md