Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Research Tracker
Manage and track autonomous AI research projects with state logging, instruction queues, agent coordination, and progress monitoring via SQLite.
skill openclawclawhub Free
Manage and track autonomous AI research projects with state logging, instruction queues, agent coordination, and progress monitoring via SQLite.
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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
- 0.1.0
Provenance
- Publisher
- julian1645
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Research Tracker
CLI tool for managing autonomous research agents with append-only state, instruction queues, and oversight.
Prerequisites
brew tap 1645labs/tap brew install julians-research-tracker Or: go install github.com/1645labs/julians-research-tracker/cmd/research@latest
Start a research project
research init market-q1 --name "Q1 Market Analysis" --objective "Analyze competitor pricing and positioning"
As the research agent โ log progress
export RESEARCH_SESSION_ID="$SESSION_KEY" # Track which agent is writing research log market-q1 STEP_BEGIN --step 1 --payload '{"task":"gather sources"}' # ... do work ... research log market-q1 STEP_COMPLETE --step 1 research heartbeat market-q1
Check status (from main session or heartbeat)
research status market-q1 --json research context market-q1 --last 5 # Truncated context for prompts
Send instructions to running agent
research instruct market-q1 "Focus on enterprise segment" --priority URGENT research stop-signal market-q1 # Request graceful stop
Agent checks for instructions
research pending market-q1 --json research ack market-q1 --all # Acknowledge after processing research check-stop market-q1 # Exit 0 = stop, Exit 1 = continue
Commands Reference
CommandPurposeinit <id> -o "..."Create project with objectivelist [--status active|done|all]List projects (includes needs_attention flag)show <id>Project details + recent eventsstop <id>Stop project, send STOP instructionarchive <id>Archive completed projectlog <id> <event> [--step N]Log event (STEP_BEGIN, CHECKPOINT, BLOCKED, etc.)heartbeat <id>Update alive timestampblock <id> --reason "..."Mark blocked, needs inputcomplete <id>Mark donestatus <id> [--json]Current state summarycontext <id> [--last N]Truncated context for agent promptsinstruct <id> "text"Send instructionpending <id>List unacked instructionsack <id> [--all]Acknowledge instructionscheck-stop <id>Exit code: 0=stop, 1=continueaudit <id> --verdict pass|driftLog audit result
Event Types
STARTED, STEP_BEGIN, STEP_COMPLETE, CHECKPOINT, BLOCKED, UNBLOCKED, AUDIT_PASS, AUDIT_DRIFT, HEARTBEAT, DONE, STOPPED, TIMEOUT
Spawning a research agent
1. research init <project> --objective "..." 2. sessions_spawn with task including: - Project ID and objective - Instructions to use research CLI for state - Check stop signal before each step - Log progress with heartbeat 3. Heartbeat monitors: research list --json | check needs_attention 4. Send instructions via: research instruct <project> "..."
Agent loop (in spawned agent)
while research check-stop $PROJECT; [ $? -eq 1 ]; do research pending $PROJECT --json # Check instructions research log $PROJECT STEP_BEGIN --step $STEP # ... do work ... research log $PROJECT STEP_COMPLETE --step $STEP research heartbeat $PROJECT STEP=$((STEP + 1)) done research complete $PROJECT
Attention Detection
research list --json includes needs_attention: true when: Last event is BLOCKED Has unacked URGENT or STOP instructions Heartbeat stale (>5 min since last HEARTBEAT event) Last audit was AUDIT_DRIFT
Database
SQLite at ~/.config/research-tracker/research.db (WAL mode, append-only events). Run research db migrate after install. Schema auto-migrates on first use.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md