User Story Writer
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
Advanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001).
$ npx skills add acogood/diffmode_free --skill enrichment-audience -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install acogood/diffmode_free enrichment-audience --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/acogood/diffmode_free.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/enrichment-audience .claude/skills/enrichment-audience && 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 "enrichment-audience" agent skill from https://github.com/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audience into .claude/skills/enrichment-audience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrichment-audience", 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/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audienceType 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 acogood/diffmode_free --skill enrichment-audience -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install acogood/diffmode_free enrichment-audience --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/acogood/diffmode_free.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/enrichment-audience .agents/skills/enrichment-audience && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "enrichment-audience" agent skill from https://github.com/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audience into .agents/skills/enrichment-audience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrichment-audience", 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 acogood/diffmode_free --skill enrichment-audience -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install acogood/diffmode_free enrichment-audience --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/acogood/diffmode_free.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/enrichment-audience .cursor/skills/enrichment-audience && 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 "enrichment-audience" agent skill from https://github.com/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audience into .cursor/skills/enrichment-audience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrichment-audience", 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/acogood/diffmode_free.git --path plugin/skills/enrichment-audience--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 acogood/diffmode_free --skill enrichment-audience -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install acogood/diffmode_free enrichment-audience --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/acogood/diffmode_free.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/enrichment-audience .gemini/skills/enrichment-audience && 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 "enrichment-audience" agent skill from https://github.com/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audience into .gemini/skills/enrichment-audience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrichment-audience", 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 acogood/diffmode_free enrichment-audienceInstalls 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 acogood/diffmode_free --skill enrichment-audience -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/acogood/diffmode_free.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/enrichment-audience .github/skills/enrichment-audience && 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 "enrichment-audience" agent skill from https://github.com/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audience into .github/skills/enrichment-audience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrichment-audience", 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 acogood/diffmode_free --skill enrichment-audience -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install acogood/diffmode_free enrichment-audience --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/acogood/diffmode_free.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/enrichment-audience .opencode/skills/enrichment-audience && 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 "enrichment-audience" agent skill from https://github.com/acogood/diffmode_free/tree/main/plugin/skills/enrichment-audience into .opencode/skills/enrichment-audience/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrichment-audience", 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.
enrichment-audienceAdvanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001).
Enrichment Audience is an agent skill from acogood/diffmode_free. Advanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001). Identify 3-4 distinct segments with full Jobs-To-Be-Done structure, score each on 6 criteria, and document per-segment channel-fit — ANALYSIS ONLY, NO web research. Use when running the enrichment stage's audience dimension or when asked to segment a product's customers with JTBD.
Its SKILL.md is about 2k 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 Product & Project Management, covering User stories. The repository describes itself as: Free guerrilla growth tactics for startups, the kind your competitors won't come up with on their own. Runs in Claude Code or Codex: competitor read, buyer map, and 7 to 9… The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c175a4d. 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 (its code samples are markdown).
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.
Enrichment Audience loads about 2k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 738 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 acogood/diffmode_free at commit c175a4d, republished under its Apache-2.0 licence (© acogood). 738 words, ~1,996 tokens.
.claude/skills/enrichment-audience/SKILL.md (or your agent's skills folder).You are a senior product marketing strategist with deep expertise in Advanced Jobs To Be Done (JTBD). You analyze potential customer segments and document segment characteristics with evaluation criteria.
Distilled from the Diffmode AI-CMO enrichment methodology (ENR-001). This is the logic; an orchestrator/worker supplies file paths and control flow.
01-diagnostics/founder-input.md.02-enrichment/competitors-analysis.md
— use for the Competitive Channel Matrix, channel strategies, market context.${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md. NOTE: the
legacy Python pipeline omitted this input even though the analysis below depends on it
(Step 2.5 channel-fit). This skill declares it required — a deliberate fix, not the
latent bug.02-enrichment/audience-jtbd.md (path supplied by invoker).Work ONLY with the information in the input files. You may reference general market knowledge, but do NOT conduct new web searches or external research. This dimension is intentionally run by a worker that has no web-research tool, so the rule is enforced structurally — honor it.
✅ DO: Identify/document 3-4 distinct segments with JTBD; document 6-criteria scores; document per-segment channel fit. ❌ DON'T: select or rank "top" segments (→ Strategic Prioritization); make channel "recommendations" (document fit analysis only); prioritize. Present all segments neutrally.
For each segment, use the Advanced JTBD structure:
Each segment must have a distinct Core Job — not variations of the same job, not the same person at different times.
Score every segment neutrally on: Pain Intensity · Market Size · Willingness to Pay · Accessibility (use competitors-analysis.md) · Product Fit · Frequency. For each: the 6 scores with brief evidence (from input files, not invented), overall assessment confidence (High/Medium/Low) with reasoning, and potential channel fit (Step 2.5).
Body copy follows ${CLAUDE_PLUGIN_ROOT}/reference/writing-style.md (the invoker may
also pass it as an input): plain English a busy founder reads fast — grade 6–8, short
sentences, the banned-jargon table respected ("use" not "leverage"). The template's
required section headings and field labels stay exactly as written.
Target length 1,500-2,000 words. Write to the supplied output path:
# Audience & JTBD Analysis
## Customer Segments (3-4 total)
### Segment N: [Name]
**Portrait:** …
**Core Job:** when (context/trigger/activating knowledge/emotions at point A) · I want
to … · success criteria (3) · so that … AND feel … · Job frequency
**Current alternatives & why they fail:** 3 (incl. do-nothing)
**Switching Costs:** data migration / learning curve / workflow disruption / overall
friction + **Implication for acquisition**
[repeat per segment]
## Segment Evaluation Summary
### Segment N: [Name]
**Evaluation Criteria Scores (1-10):** Pain Intensity · Market Size · Willingness to Pay
· Accessibility · Product Fit · Frequency (each with brief evidence)
**Overall Assessment Confidence:** High/Medium/Low — reasoning
**Potential Channel Fit Analysis:** High-Fit Option 1 (characteristics + fit analysis +
documented tactics) · High-Fit Option 2 · Medium-Fit Options (2+)
[repeat per segment]DON'T add Executive Summary, Founder's Hypothesis vs Reality, Strategic Recommendations, or Key Insights sections. No web sources list. No generic "social media"/"content marketing" — name exact channels.
Strong: 3-4 truly distinct Core Jobs; complete when (all 4 components, specific
emotions); measurable success criteria; realistic alternatives incl. do-nothing; all 6
criteria scored with input-file evidence; channel fit references JTBD behavior + names
specific channels + documents competitive adoption (X/Y) + cites tactics from
competitors-analysis.md; neutral; ~1,500-2,000 words. Weak: 1-2 segments or
non-distinct; incomplete JTBD; generic emotions; "I want to" describes a solution;
missing competitive-adoption data; generic channel categories; any
recommendations/prioritization (scope violation); >2,500 words.
© acogood, Apache-2.0. 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 plugin/skills/enrichment-audience of acogood/diffmode_free.
Open the folder on GitHubat commit c175a4d
Enrichment Audience 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 |
|---|---|---|---|---|---|---|
| Enrichment Audience this skillacogood/diffmode_free | 163 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| User Story Writerdeanpeters/Product-Manager-Skills | 7.2k | 2 repos | ~2.9k | Automated safety check: Pass | Custom licence | |
| Ralph Tui Create Beadssubsy/ralph-tui | 2.5k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Agile Product Owneralirezarezvani/claude-skills | 28k | 3 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Ralph Tui Create Beads Rustsubsy/ralph-tui | 2.5k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| To Specbestofjs/bestofjs | 3.1k | 21 repos | ~757 | Automated safety check: Pass | MIT |
deanpeters/Product-Manager-Skills
Writes user stories in Mike Cohn's format with Gherkin acceptance criteria, turning user needs into development-ready work with testable conditions.
subsy/ralph-tui
Convert PRDs to beads for ralph-tui execution. An agent skill from subsy/ralph-tui.
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
subsy/ralph-tui
Convert PRDs to beads for ralph-tui execution using beads-rust (br CLI).
bestofjs/bestofjs
Turn the current conversation into a spec and publish it to the project issue tracker — no interview, just synthesis of what you've already discussed.
subsy/ralph-tui
Convert PRDs to prd.json format for ralph-tui execution. An agent skill from subsy/ralph-tui.
acogood/diffmode_free
Parameterized quality reviewer for Diffmode growth-tactics outputs across the whole pipeline.
acogood/diffmode_free
Competitive gap analysis for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-002).
acogood/diffmode_free
Cross-industry tactic transfer for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-001).
acogood/diffmode_free
Comprehensive acquisition-tactics audit for a founder's industry (AI-CMO enrichment ENR-004).
acogood/diffmode_free
Deep competitive-intelligence analysis for a founder's product (AI-CMO enrichment ENR-002).
acogood/diffmode_free
Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003).
Categories
Advanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001). Enrichment Audience is an agent skill from acogood/diffmode_free. Advanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001).
Enrichment Audience fits situations like: running the enrichment stages audience dimension; asked to segment a products customers with JTBD.
Run `npx skills add acogood/diffmode_free --skill enrichment-audience -a claude-code`. Or copy the skill folder (plugin/skills/enrichment-audience in acogood/diffmode_free) into .claude/skills/enrichment-audience in your project. Claude Code loads it when a task matches its description.
Run `npx skills add acogood/diffmode_free --skill enrichment-audience -a codex`. Or copy the skill folder (plugin/skills/enrichment-audience in acogood/diffmode_free) into .agents/skills/enrichment-audience 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 acogood/diffmode_free --skill enrichment-audience -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enrichment-audience, .gemini/skills/enrichment-audience, .github/skills/enrichment-audience and .opencode/skills/enrichment-audience in your project.
SKILL.md names no scripts, command-line tools or credentials: Enrichment Audience is instructions for the agent only. Our summary lists: Python 3.
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.
Enrichment Audience is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8k 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 Enrichment Audience: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Agile Product Owner (alirezarezvani/claude-skills, 28k stars) and Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
acogood (a GitHub user) maintains it in acogood/diffmode_free, which has 163 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 10, 2026.
Source: acogood/diffmode_free on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.