Agent skill

Counteroffer Decoder

by mohitagw15856 in mohitagw15856/pm-claude-skills

Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework.

MITAuto-check passedData & Analytics

Install Counteroffer Decoder

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill counteroffer-decoder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills counteroffer-decoder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/counteroffer-decoder .claude/skills/counteroffer-decoder && rm -rf skills-src

Use ~/.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/

Facts

Skill name
counteroffer-decoder
GitHub stars
1.4k
Token cost
~1.3k tokens
SKILL.md length
665 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework.

  • Asked my company countered my resignation
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: Severity Scale and Output Format, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Should I accept a counteroffer

What it does

Counteroffer Decoder is an agent skill from mohitagw15856/pm-claude-skills. Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework. Use when asked my company countered my resignation, should I accept a counteroffer, they offered me more to stay, or decode this retention offer. Produces a component-by-component decode with 🔴🟡🟢 severity, the questions that expose which promises are real, and the stay/go decision sheet.

Its SKILL.md is about 1.3k 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 Data & Analytics, covering Statistics. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked my company countered my resignation
  • Should I accept a counteroffer
  • They offered me more to stay
  • Decode this retention offer

Example prompts

  • “/counteroffer-decoder”

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Counteroffer Decoder loads about 1.3k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 665 words, ~1,312 tokens.

Download SKILL.mdSave it as .claude/skills/counteroffer-decoder/SKILL.md (or your agent's skills folder).
name
counteroffer-decoder
description
Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework. Use when asked my company countered my resignation, should I accept a counteroffer, they offered me more to stay, or decode this retention offer. Produces a component-by-component decode with 🔴🟡🟢 severity, the questions that expose which promises are real, and the stay/go decision sheet.

Counteroffer Decoder Skill

A counteroffer is the price of your replacement, quoted in a panic. Sometimes it's also a genuine correction — a manager discovering what the market already knew. This skill decodes which one is on the table: what each component (cash now, promises later, title without scope) actually signals, what changes the day you accept, and the questions whose answers separate real commitments from retention theater.

What This Skill Produces

  • Component-by-component decode — each element of the offer, what it signals, 🔴🟡🟢 severity
  • The day-after analysis — what accepting changes about trust, the promotion queue, and the next layoff list, stated as risks not prophecies
  • The verification questions — the asks that convert promises into commitments (in writing, with dates) or expose them
  • The decision sheet — stay/go framed against why they resigned in the first place

Required Inputs

Ask for these if not provided:

  • The counteroffer's exact contents — verbal or written; note which is which (it matters enormously)
  • Why they resigned — money, growth, manager, mission, the new opportunity itself; the counter can only fix some of these
  • The new offer they'd be declining — what gets given up if they stay
  • History — had they raised these issues before? A raise that took a resignation is data about the next raise

Framework: Severity Scale

  • 🔴 Retention theater — high risk — verbal-only promises ("promotion in the next cycle"), title bump with unchanged scope/pay path, "we were already planning to promote you" with no paper trail, urgency pressure ("we need your answer today"), a raise to exactly-match with visible resentment. Each signals buying time to de-risk their transition, not correcting yours.
  • 🟡 Ambiguous — verify before weighing — real raise but silent on the original non-money reasons, promises with names but no dates, "things will change" about a manager or culture (ask: what specifically, starting when, visible how?).
  • 🟢 Genuine-correction signals — written offer unprompted, addresses the stated reasons not just comp, concrete scope change with a start date, no urgency pressure, acknowledgment that the situation was mishandled. Rare, and worth taking seriously when the pattern is complete.

Decode against the resignation reason: money-only resignations are the only kind a counteroffer can fully fix. Growth, manager, and mission problems survive a raise — the counter resets the salary and keeps the reason.

Output Format

Counteroffer Decode: [current role vs. new offer]

The Verdict

[Genuine correction / retention theater / mixed — in two sentences, with the single strongest signal either way]

Component Decode

ComponentWhat was offeredWhat it signalsSeverity
Show full SKILL.md (262 more words)Show less

The Day After You Accept

[Trust and flight-risk labeling, framed as risk-not-certainty · the promotion-queue question · what happens to leverage once the new offer expires]

Verification Questions (before deciding)

[3–5 asks that convert each 🟡 promise to writing-with-dates, and the polite phrasing — "could we document the scope change so it survives reorgs?"]

Decision Sheet

[The original resignation reason → does the counter fix it? · what's given up from the new offer · the honest recommendation with reasoning]

A career-decision reading, not financial or legal advice — equity, bonus, and notice terms in either offer are worth a professional's eyes before signing.

Quality Checks

  • Every component decoded against what it signals, not just its face value
  • The original resignation reason anchors the analysis throughout
  • Day-after risks stated as risks with reasoning, never as certainties or folklore statistics
  • Every promise has a verification question that would convert it to writing
  • The decision sheet takes a position with reasoning

Anti-Patterns

  • Do not cite "80% of counteroffer-acceptors leave within a year" folklore as fact — the honest version is the mechanism (unfixed reasons resurface), not a fake number
  • Do not treat every counter as an insult — genuine corrections exist; decode, don't preach
  • Do not let the flattery of being countered into the analysis — the offer prices your replacement cost, and it's the terms that carry information
  • Do not weigh verbal promises as offer components — until written, they're 🔴 and weigh nothing
  • Do not decide on comp alone when the resignation wasn't about comp — say so plainly

Example Trigger Phrases

  • "My company countered my resignation."
  • "Should I accept a counteroffer?"
  • "Decode this retention offer."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/counteroffer-decoder of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Counteroffer Decoder 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.

Counteroffer Decoder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Counteroffer Decoder this skillmohitagw15856/pm-claude-skills1.4k—~1.3kAutomated safety check: PassMIT
Sandbox Benchvercel/next.js143k—~4.1kAutomated safety check: PassMIT
Statistical Analysisspacering-net/codeg3.9k3 repos~5kAutomated safety check: PassMIT
StatsmodelszLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
AI Daily DigestvigorX777/ai-daily-digest1.6k—~1.3kAutomated safety check: PassNone
Statistical Powerspacering-net/codeg3.9k1 repos~3.6kAutomated safety check: NotesMIT

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Questions about Counteroffer Decoder

What does Counteroffer Decoder do?

Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework. Counteroffer Decoder is an agent skill from mohitagw15856/pm-claude-skills. Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision framework.

When should I use Counteroffer Decoder?

Counteroffer Decoder fits situations like: asked my company countered my resignation; should I accept a counteroffer; they offered me more to stay; decode this retention offer.

How do I install Counteroffer Decoder in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill counteroffer-decoder -a claude-code`. Or copy the skill folder (skills/counteroffer-decoder in mohitagw15856/pm-claude-skills) into .claude/skills/counteroffer-decoder in your project. Claude Code loads it when a task matches its description.

How do I install Counteroffer Decoder in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill counteroffer-decoder -a codex`. Or copy the skill folder (skills/counteroffer-decoder in mohitagw15856/pm-claude-skills) into .agents/skills/counteroffer-decoder in your project. Codex loads it when a task matches its description.

Can I use Counteroffer Decoder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill counteroffer-decoder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/counteroffer-decoder, .gemini/skills/counteroffer-decoder, .github/skills/counteroffer-decoder and .opencode/skills/counteroffer-decoder in your project.

What does Counteroffer Decoder need to run?

SKILL.md names no scripts, command-line tools or credentials: Counteroffer Decoder is instructions for the agent only.

Does Counteroffer Decoder access the network?

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.

Is Counteroffer Decoder safe to install?

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.

What licence does Counteroffer Decoder use?

Counteroffer Decoder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Counteroffer Decoder use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Counteroffer Decoder?

Skills that share tags, products or a category with Counteroffer Decoder: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Counteroffer Decoder?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.