Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add w95/awesome-claude-corporate-skills --skill resource-planninggit clone --depth 1 https://github.com/w95/awesome-claude-corporate-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/resource-planning)<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/resource-planning"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/resource-planning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/resource-planning"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/resource-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.00326 |
| Opus 5 | $0.00030 | $0.00163 |
| Sonnet 5 | $0.00012 | $0.00065 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
resource-planning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Resource Planning
Help plan and optimize resource allocation across projects and teams.
Planning Dimensions
People
- Available headcount and skills
- Current allocation and utilization
- Planned hires and timeline
- Contractor and vendor capacity
Budget
- Operating budget by category
- Project-specific budgets
- Variance tracking
- Forecast vs. actual
Time
- Project timelines and dependencies
- Critical path analysis
- Buffer and contingency planning
- Deadline management
Utilization Targets
| Role Type | Target Utilization | Notes |
|---|---|---|
| IC / Specialist | 75-80% | Leave room for reactive work and growth |
| Manager | 60-70% | Management overhead, meetings, 1:1s |
| On-call / Support | 50-60% | Interrupt-driven work is unpredictable |
Common Pitfalls
- Planning to 100% utilization (no buffer for surprises)
- Ignoring meeting load and context-switching costs
- Not accounting for vacation, holidays, and sick time
- Treating all hours as equal (creative work ≠ admin work)
Output
Produce allocation plans, utilization dashboards, scenario analyses (what if we hire / don't hire / deprioritize), and staffing recommendations.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 48 lines · 59 tokens per session scan A 9b4c6d5a8b98
resource-planning is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (198 stars, last pushed 6mo ago), licensed MIT. It adds 59 tokens to every session and 326 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
workflow
Starts and manages autonomous agent workflows. Triggers: workflow, start workflow, autonomous agents, agent pipeline.
autonomous-dev
Drives a brief, specification, issue or existing PR through implementation, review, tests and QA to a ready PR. Persists ownership, progress and commit-bound evidence for safe resumption. Use for autonomous software delivery or finishing an interrupted development run.
onboard
Sets up ai-toolkit in a project: symlinks, CLAUDE.md, intent interview. Triggers: onboard, setup project, install ai-toolkit, migrate project.
plan
Breaks features/goals into phased plans with task lists, agent assignments, dependencies. Triggers: plan feature, implementation roadmap, break down task, project phases.
prd-to-issues
Splits a PRD into vertical-slice GitHub issues with HITL/AFK tagging and dependencies. Triggers: PRD to issues, create tickets, break down PRD, work items.
prd-to-plan
Converts PRD into phased plan via tracer-bullet vertical slices. Triggers: PRD to plan, break down PRD, implementation plan, tracer bullets, phased plan.