Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur.
Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Plan team and infrastructure capacity before it becomes a crisis.
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.
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
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
BandRateMeaning🟢 Green<70%Healthy buffer for unplanned work🟡 Yellow70-85%Sustainable but tight🔴 Red>85%Burnout zone — something will slip
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
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
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.
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