Agency Capacity Planner
Most small agencies manage capacity by gut feel until something breaks — a burnout, a slipped deadline, or a deal turned down that they could have handled. The Agency Capacity Planner replaces gut feel with a one-page model showing where the slack is, where the danger zones are, and what happens when pipeline converts.
What this skill does
A capacity model isn't enterprise resource management software. It's a spreadsheet's worth of clear thinking that prevents the most common ways agencies fall over — overcommitting to pipeline they expected to lose, sustaining burnout because no individual week looks bad, or turning down work that would have fit if anyone had checked the model first.
The skill uses productive hours, not total hours, because nobody does 40 hours of client work in a 40-hour week. The default is 30. It scores each person against four zones: under 60% (under-utilised, you're paying for slack), 60-80% (healthy with room for quality and surprises), 80-90% (full, watch carefully), and above 90% (quality drops, burnout risk, deadlines at risk). Then it stress-tests pipeline at three conversion rates — all closes, half closes, nothing closes — and flags which weeks and which roles break in each scenario.
Recommendations come with trigger conditions and dates, not "consider hiring." If Project X closes by 15 June, you need a freelance designer booked by 1 June. If utilisation stays above 85% across a role for six consecutive weeks, that's the PAYE hiring signal. The model also flags revenue concentration risk per person — which clients suffer first if someone leaves or goes on leave — so the planning doubles as a continuity check.
The skill refuses to fabricate team data. If you provide only headcount without project allocations, you get a blank template to fill in, not a fictional plan. Solo freelancers get the same model with different levers — scope reduction, deadline extension, or subcontracting in place of rebalancing. The output is one page that an agency owner can take into a Monday meeting and use.
When this triggers
- ·You're not sure whether to take on a new project that lands next month
- ·Someone on the team is clearly stretched but you can't prove it on paper
- ·You're trying to decide between hiring full-time, going freelance, or saying no
- ·Pipeline is looking healthy and you suspect that's about to become a problem, not good news
- ·A key person is going on leave and you need to know which clients are exposed
Example
Trigger
User: 'Team of 6. Three live projects. Two more probably closing in June. Can we handle it without hiring?'
Output
Team utilisation (productive hours, 30h baseline): | Person | Role | Allocated | Util | Status | |---------|----------|-----------|------|---------------------| | [Sarah] | Designer | 26h | 87% | FULL — no buffer | | [Tom] | Dev | 22h | 73% | Healthy | | [Priya] | Strat | 18h | 60% | Light — redeploy? | If both June projects close: · Sarah hits 110% in weeks 24-27. Quality and deadlines at risk. · Tom hits 95%. Tight but doable with overage planning. · Strat capacity unaffected. Trigger: if either June deal closes by 5 June, book a freelance designer for weeks 24-28 before signing. Cost ~£3,200. Hiring signal: if utilisation stays >85% across design for 6+ weeks after the projects, convert to PAYE. Revenue at risk if Sarah is unavailable: [Client A] + [Client B], ~£14K MRR. Document her [Client A] playbook now.
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- 126-line SKILL.md, ready to drop into ~/.claude/skills/
- Tested through 3 Karpathy-loop iterations (versions v1.0.0 → v1.3.0)
- Triggers automatically when relevant — no command to remember
- Lifetime updates as the skill is refined further
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