claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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 alirezarezvani/claude-skills --skill strategic-alignmentgit clone --depth 1 https://github.com/alirezarezvani/claude-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/alirezarezvani/claude-skills/strategic-alignment)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/strategic-alignment"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/strategic-alignment/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/alirezarezvani/claude-skills/strategic-alignment"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/strategic-alignment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00092 | $0.02045 |
| Opus 5.5 | $0.00037 | $0.00818 |
| Sonnet 5.5 | $0.00018 | $0.00409 |
| Haiku 4.5 | $0.00009 | $0.00204 |
Grade A, and why
strategic-alignment 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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- strategic-alignment — 97% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Alignment Engine
Strategy fails at the cascade, not the boardroom. This skill detects misalignment before it becomes dysfunction and builds systems that keep strategy connected from CEO to individual contributor.
Keywords
strategic alignment, strategy cascade, OKR alignment, orphan OKRs, conflicting goals, silos, communication gap, department alignment, alignment checker, strategy articulation, cross-functional, goal cascade, misalignment, alignment score
Quick Start
python scripts/alignment_checker.py # Check OKR alignment: orphans, conflicts, coverage gaps
Core Framework
The alignment problem: The further a goal gets from the strategy that created it, the less likely it reflects the original intent. This is the organizational telephone game. It happens at every stage. The question is how bad it is and how to fix it.
Step 1: Strategy Articulation Test
Before checking cascade, check the source. Ask five people from five different teams: "What is the company's most important strategic priority right now?"
Scoring:
- All five give the same answer: ✅ Articulation is clear
- 3–4 give similar answers: 🟡 Loose alignment — clarify and communicate
- < 3 agree: 🔴 Strategy isn't clear enough to cascade. Fix this before fixing cascade.
Format test: The strategy should be statable in one sentence. If leadership needs a paragraph, teams won't internalize it.
- ❌ "We focus on product-led growth while maintaining enterprise relationships and expanding our international presence and investing in platform capabilities"
- ✅ "Win the mid-market healthcare segment in DACH before Series B"
Step 2: Cascade Mapping
Map the flow from company strategy → each level of the organization.
Company level: OKR-1, OKR-2, OKR-3
↓
Dept level: Sales OKRs, Eng OKRs, Product OKRs, CS OKRs
↓
Team level: Team A OKRs, Team B OKRs...
↓
Individual: Personal goals / rocks
For each goal at every level, ask:
- Which company-level goal does this support?
- If this goal is 100% achieved, how much does it move the company goal?
- Is the connection direct or theoretical?
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today First seen · 195 lines · 92 tokens per session scan A b6c7a5890785
strategic-alignment is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 2,045 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-24.
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