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Capacity Planner · borghei | DecimalAI

productivityby borghei

Capacity Planner

borghei/capacity-planner

Source borghei/claude-skills ↗License NOASSERTION

Headcount and delivery-capacity planning — effective capacity from raw headcount, hire/contract/defer scenarios, and capacity-vs-commitment gap reports.

SkillScore91Maintained

Automatic

Project Management pack

Last verified 8/20/2026

What it changes

Passed 20 of 22 test cases with the skill, and 15 of 22 without it.

Without skill70%

With skill91%

Checks it passed that the model alone missed

Assigns 0 delivery hours to an Engineering Manager.
Assigns between 120 and 160 delivery hours to a Tech Lead.
Applies a 1.90x multiplier to the low confidence task estimate.

and 4 more in the full report

5 fixed16 passed either way2 still failing0 broke

Pass-rate lift: +22 pp
Tokens: +125%
Agent turns: 0%
Response time: -12%

Model gemini-3.6-flashMeasured 8/20/2026v121 of 23 cases passed with skill · 22 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/borghei-capacity-planner/SKILL.md https://app.decimal.ai/s/borghei-capacity-planner/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add borghei-capacity-planner, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/borghei-capacity-planner/ and pins it in .decimal/skills.lock

decimalai skills add borghei-capacity-planner

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/borghei-capacity-planner/SKILL.md https://app.decimal.ai/s/borghei-capacity-planner/SKILL.md

Raw file: /s/borghei-capacity-planner/SKILL.md ↗ · machine-readable summary at /s/borghei-capacity-planner.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

Just draft the numbers without asking clarification questions. We are bringing on a mid-level software engineer who starts on day one of next quarter. What range of committable delivery hours should we model for them in their first quarter?

What was checked, without and with the skill
Checked	Without skill	With skill
Models first-quarter delivery capacity between 90 and 110 hours for the new mid-level hire.	Missed	Passed

case-06 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md187 lines10 filesincludes scripts

Capacity Planner

Turns headcount into hours you can actually commit. Most capacity plans fail the same way: they count people instead of delivered hours, ignore ramp, and size supply to fit the roadmap rather than the other way round. This skill computes effective capacity independently, matches it against risk-adjusted demand, and publishes the cut line.

When to use this skill

Quarterly planning — deciding what the team can commit to for the next 90 days
Testing a roadmap — a stakeholder has a list and wants to know if it fits
Building a hiring ask — quantifying a structural gap in hours and dollars
Hire vs contract vs defer — choosing how to close a capacity shortfall
Mid-quarter replan — the burn rate diverged and commitments need renegotiating
Onboarding impact — modelling what three new hires actually deliver this quarter

Inputs the skill expects

Team roster: name, discipline, seniority, FTE, tenure in months
Known absence: booked PTO days, on-call rotation weeks per person
Overhead estimates: meeting load and non-delivery overhead as a percentage
Working days and hours per day for the period
Candidate commitments with discipline, hour estimate, confidence band, and priority
For scenario work: demand curve per quarter, salary/contractor rates, start dates

Clarify First

Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Is this a supply question or a demand question? — sizing a hiring ask and testing a roadmap use different scripts and produce different artifacts
Who counts as delivery capacity? — including managers, tech leads, or unfilled reqs at full FTE changes the answer by 10-40%
Are the estimates already risk-adjusted? — applying the confidence inflation twice overstates demand by 40%+; applying it zero times understates it by the same
Is the buffer set from history or from intent? — the unplanned-work reserve is the single largest lever on the cut line

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Workflows

Workflow 1 — Model effective capacity

Track record

Benchmark

20 / 22

test cases passed, vs 15 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

borghei / claude-skills

business-operations/capacity-planner/SKILL.md

View on GitHub ↗

License MIT + Commons ClauseImported 8/3/2026Version v1Bundled 9 files · scripts

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

alirezarezvani/capacity-plannerUse when an ops leader (Director of CX, Head of Support, VP Ops, Head of BizOps, Head of IT ops, Head of Finance ops) is sizing ops capacity, building a headcount plan, modeling utilization risk, planning Q3 capacity or annual support capacity, or designing CS coverage — and needs Erlang-C queueing math, P90 demand sizing, shrinkage-adjusted FTE, manager-trigger thresholds, and a quarterly hiring sequence with ramp + attrition. Apply when sustained team utilization is above 80% or when the team Close match+41 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Capacity Planner

When to use this skill

Inputs the skill expects

Clarify First

Workflows

Workflow 1 — Model effective capacity

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills