Agent skill

Enrichment

by eser in eser/stack

Interviews the user about a plan, decision or idea in rounds, level by level down a decision tree, until both share one understanding; facts are researched by sub-agents, decisions stay with the user.

Custom licenceAuto-check passedProduct & Project Management

Install Enrichment

skills CLI
$ npx skills add eser/stack --skill enrichment -a claude-code

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

GitHub CLI
$ gh skill install eser/stack enrichment --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/eser/stack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/enrichment .claude/skills/enrichment && 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
enrichment
GitHub stars
128
Token cost
~642 tokens
SKILL.md length
316 words
Files
3 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Interviews the user about a plan, decision or idea in rounds, level by level down a decision tree, until both share one understanding; facts are researched by sub-agents, decisions stay with the user.

  • The user asks to enrich
  • SKILL.md covers Always and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Stress-test a plan

What it does

Enrichment is an agent skill from eser/stack. Interviews the user about a plan, decision or idea in rounds, level by level down a decision tree, until both share one understanding; facts are researched by sub-agents, decisions stay with the user. Use when the user asks to enrich, grill or stress-test a plan, and offer it when drafting a PRD, spec, ADR or backlog item whose content has open decisions. Not for a one-off comparison.

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/triggers.json` and `references/interview-rounds.md`).

It sits in Product & Project Management, covering Architecture decision records, Subagents and PRD writing. The repository describes itself as: The Portability Solution for Your Code! 🚀 Powered By Deno and JavaScript.

When your agent uses it

  • The user asks to enrich
  • Stress-test a plan
  • Offer it when drafting a PRD
  • Backlog item whose content has open decisions

Example prompts

  • “Use the enrichment skill to interview the user about a plan, decision or idea in rounds, level by level down a decision tree, until both share one…”
  • “/enrichment”

What it can do on your machine

Read from SKILL.md and the folder at commit 64939e6. 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

Enrichment loads about 642 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 316 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~642
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 316 words (~642 tokens).

“A deliberate interview about a plan, decision or idea that continues until no decision is left open; nothing is built during it. It starts in two ways: the user asks for it, or the agent offers it while drafting a…”

— opening of SKILL.md by eser, Custom licence
name
enrichment

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .agents/skills/enrichment of eser/stack.

  • SKILL.md
  • evals/triggers.json
  • references/interview-rounds.md

Open the folder on GitHubat commit 64939e6

Compare with similar skills

Enrichment 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.

Enrichment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Enrichment this skilleser/stack128—~642Automated safety check: PassCustom licence
Rfc Modelingmirumee/nimara-ecommerce129—~920Automated safety check: PassBSD-3-Clause
Ad ReviewCorridorTech/PoseCap224—~2.4kAutomated safety check: NotesApache-2.0
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Schematicblader/schematic241—~2.2kAutomated safety check: PassMIT
Reviewfossasia/eventyay-interpretation1.6k35 repos~996Automated safety check: PassApache-2.0

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  • Review

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Questions about Enrichment

What does Enrichment do?

Interviews the user about a plan, decision or idea in rounds, level by level down a decision tree, until both share one understanding; facts are researched by sub-agents, decisions stay with the user. Enrichment is an agent skill from eser/stack. Interviews the user about a plan, decision or idea in rounds, level by level down a decision tree, until both share one understanding; facts are researched by sub-agents, decisions stay with the user.

When should I use Enrichment?

Enrichment fits situations like: the user asks to enrich; stress-test a plan; offer it when drafting a PRD; backlog item whose content has open decisions.

How do I install Enrichment in Claude Code?

Run `npx skills add eser/stack --skill enrichment -a claude-code`. Or copy the skill folder (.agents/skills/enrichment in eser/stack) into .claude/skills/enrichment in your project. Claude Code loads it when a task matches its description.

How do I install Enrichment in Codex?

Run `npx skills add eser/stack --skill enrichment -a codex`. Or copy the skill folder (.agents/skills/enrichment in eser/stack) into .agents/skills/enrichment in your project. Codex loads it when a task matches its description.

Can I use Enrichment 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 eser/stack --skill enrichment -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, .gemini/skills/enrichment, .github/skills/enrichment and .opencode/skills/enrichment in your project.

What does Enrichment need to run?

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

Does Enrichment 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 Enrichment 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 Enrichment use?

Enrichment has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Enrichment use?

About 642 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Enrichment?

Skills that share tags, products or a category with Enrichment: Rfc Modeling (mirumee/nimara-ecommerce, 129 stars), Ad Review (CorridorTech/PoseCap, 224 stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Schematic (blader/schematic, 241 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Enrichment?

eser (a GitHub user) maintains it in eser/stack, which has 128 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 3, 2026.

Source: eser/stack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.