Influence And Negotiation
samber/cc-skills
Influence and negotiation toolkit for any interaction needing another person's agreement, even when the user never says 'negotiation'.
TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring…
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarking --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .claude/skills/compensation-benchmarking && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "compensation-benchmarking" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarking into .claude/skills/compensation-benchmarking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compensation-benchmarking", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarkingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarking --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .agents/skills/compensation-benchmarking && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "compensation-benchmarking" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarking into .agents/skills/compensation-benchmarking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compensation-benchmarking", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarking --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .cursor/skills/compensation-benchmarking && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "compensation-benchmarking" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarking into .cursor/skills/compensation-benchmarking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compensation-benchmarking", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/w95/awesome-claude-corporate-skills.git --path 03-human-resources/compensation-benchmarking--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarking --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .gemini/skills/compensation-benchmarking && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "compensation-benchmarking" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarking into .gemini/skills/compensation-benchmarking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compensation-benchmarking", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarkingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .github/skills/compensation-benchmarking && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "compensation-benchmarking" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarking into .github/skills/compensation-benchmarking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compensation-benchmarking", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install w95/awesome-claude-corporate-skills compensation-benchmarking --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/03-human-resources/compensation-benchmarking .opencode/skills/compensation-benchmarking && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "compensation-benchmarking" agent skill from https://github.com/w95/awesome-claude-corporate-skills/tree/main/03-human-resources/compensation-benchmarking into .opencode/skills/compensation-benchmarking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compensation-benchmarking", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
compensation-benchmarkingTRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring…
Compensation Benchmarking is an agent skill from w95/awesome-claude-corporate-skills. TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring competitive compensation. Analyzes market data, builds equity-focused salary structures, identifies pay gaps, and creates data-driven compensation recommendations.
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Proposals and quotes, Stock and market analysis and Recruiting and HR. The repository describes itself as: 166 production-ready Claude AI skills organized by corporate role — executive leadership, finance, HR, marketing, sales, legal, operations, engineering, product, data, customer…. The licence is MIT.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 78dbc7c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compensation Benchmarking loads about 4.6k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,701 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from w95/awesome-claude-corporate-skills at commit 78dbc7c, republished under its MIT licence (© w95). 1,701 words, ~4,649 tokens.
.claude/skills/compensation-benchmarking/SKILL.md (or your agent's skills folder).This skill helps HR professionals and leaders make data-driven compensation decisions that are competitive, equitable, and aligned to business strategy. It provides frameworks for market research, salary band development, pay equity analysis, compensation proposals, and ongoing market monitoring that attract and retain talent while managing labor costs.
Primary Data Sources:
Salary Surveys:
Methodology:
Data Points to Collect:
Critical: Ensure Comparable Roles Don't compare apples to oranges:
Create structured salary bands aligned to market and internal consistency.
Band Structure Example:
SALARY BAND FRAMEWORK
ROLE: Senior Product Manager
MARKET MEDIAN: $150,000
BAND STRUCTURE (for typical PM with 7-10 years experience):
Entry: $130,000 - $150,000 (Newly promoted or hired externally)
Mid: $150,000 - $175,000 (2-3 years in role, strong performance)
Senior: $175,000 - $205,000 (5+ years in role, high performer, potential leader)
TOTAL COMPENSATION POSITIONING:
25th percentile: $130,000 base (below market, only for growth)
Median/50th: $157,500 base (at market, target position)
75th percentile: $185,000 base (above market, top 25%)
BAND GUIDELINES:
- New to role: Bottom of band
- Solid performer: Mid of band
- Top performer/specialized skills: Upper band
- Don't exceed band unless exceptional circumstances
EQUITY & BONUS (if applicable):
- Stock options: 0.05% - 0.15% grant
- Bonus target: 15-20% of base (if role-appropriate)Band Design Principles:
Market-Based Positioning:
Internal Consistency:
Geographic Adjustments: Common approach:
Example Geographic Bands:
Senior Product Manager (7-10 years)
San Francisco: $180,000 - $265,000
New York: $170,000 - $255,000
Seattle: $160,000 - $240,000
Austin: $135,000 - $200,000
Midwest: $130,000 - $195,000Key Decisions to Make:
Market Positioning:
Equity vs. Cash Trade-off:
Benefits Strategy:
Variable Compensation:
Transparency Strategy:
Ensure fair, non-discriminatory compensation.
Why This Matters:
Analysis Framework:
Step 1: Identify Comparable Roles
Step 2: Identify Pay Gaps
Step 3: Investigate Differences
Step 4: Take Corrective Action
Pay Equity Analysis Template:
PAY EQUITY ANALYSIS
Role: Senior Software Engineer
Location: San Francisco
Comparison Level: All engineers in role with 5-7 years experience
SALARY COMPARISON BY GENDER
Female Engineers (n=12):
- Average Salary: $165,000
- Median: $163,500
- Range: $150K - $185K
Male Engineers (n=18):
- Average Salary: $178,000
- Median: $177,500
- Range: $155K - $210K
GAP: $13,000 (7.9% gap, favoring males)
ANALYSIS OF DIFFERENCE
Experience Breakdown:
- Female: avg 5.8 years | Male: avg 5.9 years (not significant)
Performance Ratings:
- Female: avg 3.7/5 | Male: avg 3.8/5 (minimal difference)
Specialized Skills:
- Female: 33% have cloud architecture cert | Male: 39% (minor)
External Hires:
- Female: avg hired at $158K | Male: avg hired at $169K
- This accounts for approximately $8K of gap (market timing, negotiation)
CONCLUSION
Unexplained gap: ~$5,000 after accounting for legitimate factors.
This is within 3% after adjusting for observable factors, but trending gap may indicate systemic undervaluation.
RECOMMENDATION
1. Adjust three lowest-paid female engineers within role to band ranges
2. Review next hire to ensure equitable offer
3. Re-analyze quarterly to monitor trend
4. Consider women's negotiation support (research shows women negotiate less)
COST: $15,000 total (one-time)
TIMELINE: Implement within 30 daysAnnual Salary Review:
Framework:
Typical Increase Framework:
Example Salary Adjustment Decision:
ANNUAL SALARY REVIEW
Employee: Alex Martinez
Role: Product Manager
Current Salary: $145,000
Review Date: March 2024
MARKET ANALYSIS
- PM Role Market: $150,000 (median) - $160,000 (at 75th percentile)
- Alex's salary: $145,000 (below market by $5,000)
- Status: Under market
PERFORMANCE
- Performance rating: Exceeds Expectations (4/5)
- 1-year in role: Growing quickly
- Promotable: Yes, in 18-24 months
DECISION
1. Merit increase: 5% ($145K x 1.05 = $152.25K, round to $152,000)
- Justification: Strong performance (exceeds expectations) + undermarket position
2. Justification for amount:
- Standard merit (2-3%) + market adjustment (2-3%) = 4-6%
- New salary: $152,000 (now at market median)
EQUITY CHECK
- Check if similar performers got similar increases
- Ensure gender/race neutrality in increases
- Document reasoning for file
COMMUNICATION
- Meet with employee
- Explain: "You've shown strong performance. We're adjusting to market rate."
- Discuss: Development plan, career path
- No surprises (should have feedback in 1:1s)Red Flags in Salary Reviews:
Starting Offer Strategy:
Framework:
Offer Components:
OFFER PACKAGE
Base Salary: $155,000 (50th percentile for role, 5 years exp level)
Bonus:
- Annual bonus target: 20% of base ($31,000 if targets met)
- Based on company performance and individual performance
- First year: Pro-rated based on start date
Equity:
- Stock options: 0.10% grant
- Vests: 4-year schedule with 1-year cliff
- Exercise price: FMV at grant date
Benefits:
- Comprehensive health insurance (medical, dental, vision)
- Company pays 80% of premium
- 401k with 4% match
- 20 days PTO (paid time off)
- 5 days sick leave
- Parental leave: 12 weeks paid
Additional:
- $5,000 annual learning & development budget
- Home office setup: $2,000
- Mental health support: Therapy stipend, meditation app
- Commuter benefits
Total Compensation Estimate (Year 1):
- Base: $155,000
- Bonus (at target): $31,000
- Benefits (estimated): $28,000
- Equity (estimated value): $30,000
- Total Comp: $244,000Negotiation Approach:
Salary Negotiation Best Practices:
Retention Bonuses (when needed):
Equity Refresh Grants:
Market Monitoring:
Components:
CEO/Executive Compensation Typically Includes:
Governance:
Performance Metrics (often tied to bonus):
Confidentiality & Privacy:
Documentation:
Compliance:
© w95, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in 03-human-resources/compensation-benchmarking of w95/awesome-claude-corporate-skills.
Open the folder on GitHubat commit 78dbc7c
Compensation Benchmarking next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Compensation Benchmarking this skillw95/awesome-claude-corporate-skills | 239 | — | ~4.6k | Automated safety check: Pass | MIT | |
| Influence And Negotiationsamber/cc-skills | 228 | — | ~7.1k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 270 | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Mmr Loop Skill9600dev/mmr | 131 | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Mmr Skill9600dev/mmr | 131 | — | ~18k | Automated safety check: Pass | Custom licence | |
| Okx Sentiment Trackerokx/agent-skills | 186 | — | ~5.2k | Automated safety check: Pass | MIT |
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Influence and negotiation toolkit for any interaction needing another person's agreement, even when the user never says 'negotiation'.
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TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring…. Compensation Benchmarking is an agent skill from w95/awesome-claude-corporate-skills. TRIGGER THIS when researching market salaries, building compensation strategies, creating salary bands, analyzing pay equity, conducting salary reviews, preparing compensation proposals, or ensuring competitive compensation.
Compensation Benchmarking fits situations like: THIS when researching market salaries; building compensation strategies; creating salary bands; analyzing pay equity.
Run `npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a claude-code`. Or copy the skill folder (03-human-resources/compensation-benchmarking in w95/awesome-claude-corporate-skills) into .claude/skills/compensation-benchmarking in your project. Claude Code loads it when a task matches its description.
Run `npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a codex`. Or copy the skill folder (03-human-resources/compensation-benchmarking in w95/awesome-claude-corporate-skills) into .agents/skills/compensation-benchmarking in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add w95/awesome-claude-corporate-skills --skill compensation-benchmarking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/compensation-benchmarking, .gemini/skills/compensation-benchmarking, .github/skills/compensation-benchmarking and .opencode/skills/compensation-benchmarking in your project.
SKILL.md names no scripts, command-line tools or credentials: Compensation Benchmarking is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Compensation Benchmarking is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Compensation Benchmarking: Influence And Negotiation (samber/cc-skills, 228 stars), Longbridge Research (helsome/folio, 270 stars), Mmr Loop Skill (9600dev/mmr, 131 stars) and Mmr Skill (9600dev/mmr, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
w95 (a GitHub user) maintains it in w95/awesome-claude-corporate-skills, which has 239 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on February 26, 2026.
Source: w95/awesome-claude-corporate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.