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Tencent SkillHub · Data Analysis

Capacity Planner

Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur.

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High Signal

Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, 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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

Capacity Planner

Plan team and infrastructure capacity before it becomes a crisis.

What It Does

Takes your current workload data — team size, utilization rates, project pipeline, seasonal patterns — and builds a forward-looking capacity model. Flags bottlenecks 4-8 weeks before they hit.

When to Use

Sprint planning feels like guesswork You're not sure if you can take on a new client/project Hiring decisions need data, not gut feel Infrastructure keeps getting slammed at predictable times

How to Use

Tell the agent about your situation: "We have 8 engineers, 3 active projects, and a new client starting in March. Can we handle it?" The agent will: Audit current load — Map people to commitments, calculate true utilization (not the number in your head) Model scenarios — What happens if the new project lands? What if two people quit? What if scope grows 30%? Flag risks — Identify single points of failure, overloaded roles, deadline clusters Recommend actions — Hire, redistribute, defer, or say no — with numbers behind each option

Utilization Bands

BandRateMeaning🟢 Green<70%Healthy buffer for unplanned work🟡 Yellow70-85%Sustainable but tight🔴 Red>85%Burnout zone — something will slip

Key Metrics

Effective capacity = headcount × available hours × efficiency factor (typically 0.7-0.8) Demand pipeline = committed hours + probable hours (weighted by likelihood) Buffer ratio = (capacity - demand) / capacity — target 15-25% Time to constraint = weeks until demand exceeds capacity at current trajectory

Scenario Template

For each scenario, output: Headcount needed vs. available Skill gaps (specific roles/capabilities missing) Timeline risk (which deadlines move) Cost impact (overtime, contractors, lost revenue from saying no) Recommended action with confidence level

Output Format

  • CAPACITY SNAPSHOT — [Date]
  • ━━━━━━━━━━━━━━━━━━━━━━━━━━
  • Team: [size] | Utilization: [%] | Buffer: [%]
  • Status: 🟢/🟡/🔴
  • CURRENT COMMITMENTS
  • [Project A]: [X people, Y hours/week, end date]
  • [Project B]: ...
  • PIPELINE (next 8 weeks)
  • [Incoming work]: probability %, estimated load
  • ...
  • RISKS
  • 1. [Risk description + impact + timeframe]
  • 2. ...
  • SCENARIOS
  • A) [Scenario]: [outcome summary]
  • B) [Scenario]: [outcome summary]
  • RECOMMENDATION
  • [Clear action with reasoning]

Tips

Refresh capacity snapshots weekly during planning Track actual vs. predicted utilization to calibrate your efficiency factor Include non-project work (meetings, support, admin) — it's usually 20-30% of capacity Don't plan above 80% utilization. The remaining 20% isn't slack, it's where real work happens.

Go Deeper

Your capacity model is one piece of operational planning. For full business context packs covering finance, operations, and growth strategy across 10 industries: → AfrexAI Context Packs — $47 each, built by operators who've done the work. → AI Revenue Calculator — Find out where your business is leaking money (free tool). → Agent Setup Wizard — Get your AI agent configured for your specific business in 5 minutes.

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • README.md Docs