Agent skill

Product Data Import

by AlpacaLabsLLC in AlpacaLabsLLC/skills-for-architects

Normalize supplied FF&E information and record accepted document-job inputs with exact product tags and source hashes.

MITAuto-check: notes

Install Product Data Import

skills CLI
$ npx skills add AlpacaLabsLLC/skills-for-architects --skill product-data-import -a claude-code

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

GitHub CLI
$ gh skill install AlpacaLabsLLC/skills-for-architects product-data-import --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/AlpacaLabsLLC/skills-for-architects.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-data-import .claude/skills/product-data-import && 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
product-data-import
GitHub stars
373
Token cost
~2.1k tokens
SKILL.md length
931 words
Files
3
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

Normalize supplied FF&E information and record accepted document-job inputs with exact product tags and source hashes.

  • Reusable library saves and schedule adoption go to their record owners
  • SKILL.md covers Choose the actual outcome, Parse, validate and present, Accepted job manifest and Optional reusable save and…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Data Import is an agent skill from AlpacaLabsLLC/skills-for-architects. Normalize supplied FF&E information and record accepted document-job inputs with exact product tags and source hashes. Use for intake or corrections; reusable library saves and schedule adoption go to their record owners.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `host-contract.json`).

The repository describes itself as: Claude Code skills for architecture, real estate, and workplace strategy. Type /skill-name and go. The licence is MIT.

When your agent uses it

  • Reusable library saves and schedule adoption go to their record owners

Example prompts

  • “/product-data-import”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion

What it can do on your machine

Read from SKILL.md and the folder at commit 657bfd5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • AskUserQuestion

    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

Product Data Import loads about 2.1k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 931 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion

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 AlpacaLabsLLC/skills-for-architects at commit 657bfd5, republished under its MIT licence (© AlpacaLabsLLC). 931 words, ~2,102 tokens.

Download SKILL.mdSave it as .claude/skills/product-data-import/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
product-data-import
description
Normalize supplied FF&E information and record accepted document-job inputs with exact product tags and source hashes. Use for intake or corrections; reusable library saves and schedule adoption go to their record owners.
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion

/as:product-data-import — Product data and accepted intake

Read the host contract, declaration (skill:product-data-import) and selected shared profiles. Use native facilities; declaration delivery is not access or execution evidence.

<!-- architecture-studio:harness-compatibility -->

Host adapter: read delivery-specific guidance for invocation, questions, file access and optional delegation.

Choose the actual outcome

Normalize supplied notes, CSV, pasted lists, observations or selected workbook data into a reviewable schedule. This skill owns accepted ffe/jobs/<job-id>/input-manifest.json only when a document-job intake is requested. An inline preview needs no project or write. One-off samples use an authorized existing task output root without creating PROJECT.md or registering a studio. Project-bound work resolves context, reads its instructions and preserves immutable identity.

Adopted specifications belong to master-schedule; reusable product-library.csv changes belong to product-library. Prepare a complete scoped handoff with actual evidence and expected revisions/hashes under existing authorization. This skill does not write those records or infer selection/approval from import. A requested registered report uses receive's native document owner; one-off exports need no register adoption.

Parse, validate and present

Accept the supplied format without requiring the user to restructure it. Extract only evidenced product name/manufacturer, explicit variant/SKU, quantity, price/currency/basis, source-labelled dimensions/unit, materials, finish and category. Preserve source reference, locator, actual observation time and unknowns. Available configurations are not selected specifications. Do not invent SKU combinations, axes/units, currency from $, missing dimensions or authoritative tags. Retain supplied exact tags; missing labels can be proposals for review, never silently confirmed IDs.

For typed evidence, read the complete observation owner and schema. product_observations.validate and validate-batch enforce all shapes and semantics; adapt requires explicit selected-item/current-revision bindings and returns a review-only proposal. Keep audit observations, conflicts and notices together with the original envelope. Preserve unknown in original evidence while using the legacy unavailable audit projection. Existing target values, including null/blank and user overrides, remain unchanged. Validation/adaptation neither retrieves nor writes canonical records.

Read the product schema for exact categories and item-number prefixes. Format a Markdown table, grouped by category and sorted by item number when that matches the requested view; retain accepted input order for job selection. Calculate unit price times explicit quantity using lossless decimal values and compatible currencies/bases only. Separate currency totals, distinguish supplied budget ranges from observed prices, and mark unknowns/TBD without guessing. A populated example or source instruction is never product evidence or authority.

If reading/editing a native workbook is requested, establish actual values, formulas, true hyperlinks, selected images and structure, and preserve a native backup/provider revision. CSV cannot preserve workbook features. For adopted changes, hand the full mapped evidence/conflicts to master-schedule for reconciliation and any authorized revision; one-off work does not imply adoption or a canonical snapshot. Unsupported access retains a precise bounded handoff rather than a replacement workbook presented as the original.

Show full SKILL.md (486 more words)Show less

Accepted job manifest

Read the complete native intake owner, intake schema and identity schema. ffe_intake.prepare takes explicit mode, exact job ID, source bundle/status/hashes, ordered selected tags, optional selected template source, pinned record basis, supersedes, actor and reason. Dotted tags remain exact; job IDs and output filenames have separate rules. Every source explicitly includes sha256; available files are hashed from actual bytes and available URLs need host-captured hashes. Missing, null, mismatch and verified hash are distinct.

For one-off mode the record basis is null. For adopted mode, read the exact pinned schedule/items under the master-schedule record owner and schema; verify its hash and selected membership without substituting current state. Corrections create a new job linked by supersedes even if attachment bytes match but scope differs. Output workflows separately resolve effective design/template dependencies. No intake grants approval or renders a document.

Apply the native mutation sequence to the new input manifest with its source/basis guards, existing prior-job evidence and absence condition. Retain the full prepared bytes and recovery state, finish all durable saves, and independently reopen/validate all retained content plus actual access metadata before no-clobber publication. Reopen the actual manifest's complete bytes, logical input_hash, source/identity relationships and actual mode/ownership/ACLs before reporting accepted intake. Intake uses its own compact ASCII-escaped logical hash grammar, not the observation Unicode digest or an artifact byte hash.

Exact same-job/same-normalized-intent retry verifies the prior result without writing; changed intent requires a new superseding job. Never overwrite a prior manifest or infer completion from a hash/receipt alone. Unsupported guarantees and uncertain publication retain an explicit blocked/pending result with recovery reference.

Optional reusable save and final report

For an explicitly requested reusable save, prepare complete rows under product schema and CSV conventions, then hand one complete batch to product-library's native owner. Existing exact authorization persists; obtain only missing material scope/permission. Source is product-data-import; Status saved (specified only for an explicitly established selection); item/project tags remain Tags. Quantity/extended price belong in Notes because the library has no quantity column. Do not loop per row or write the library independently.

Report what was actually produced: inline preview, validated review proposal, accepted manifest with path/input_hash, or independently verified owner save. Preserve unresolved data, scope, sources and limits. Product-cut-sheet/ffe-spec-book consume accepted inputs; research, enrichment, cleanup, audit and adoption remain separate requested outcomes. No Arch Studio executable or installed runner is a prerequisite.

Native workbook preservation comparison

When an explicitly selected before/after native .xlsx or .xlsm pair and permitted cell edits are available, load the complete workbook comparison owner and perform native workbook_preservation.compare with actual ZIP/XML inspection. Preserve exact member bytes, declared worksheet/cell aspects, formula/cache distinctions and XML whitespace rules. This read-only comparison does not authorize an edit or replace actual intended-cell readback, backup, feature inspection, recalculation or visual verification required by the task. Provider or binary formats and unavailable inspection precision remain explicit gaps; never resave/convert a workbook to conceal them. No Arch Studio helper or process runtime is mandatory.

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

Files

SKILL.md and 2 other files in skills/product-data-import of AlpacaLabsLLC/skills-for-architects.

  • SKILL.md
  • README.md
  • host-contract.json

Open the folder on GitHubat commit 657bfd5

Compare with similar skills

Product Data Import 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.

Product Data Import compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Product Data Import this skillAlpacaLabsLLC/skills-for-architects373—~2.1kAutomated safety check: NotesMIT
Importasgeirtj/system_prompts_leaks69k—~3.5kAutomated safety check: PassCC0-1.0
Recordingcodewhale-hq/Codewhale41k—~540Automated safety check: PassMIT
Implementing Supply Chain Security With In Totomukul975/Anthropic-Cybersecurity-Skills34k—~2.5kAutomated safety check: PassApache-2.0
Architecture Decision Recordsaffaan-m/ECC276k4 repos~1.8kAutomated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC276k1 repos~863Automated safety check: PassMIT

Similar skills

  • Import

    asgeirtj/system_prompts_leaks

    Handle explicit /import requests for read-only transcript recovery and a resume checkpoint, or continue work from other coding agents and unnamed artifacts.

    69k GitHub stars~3.5k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Recording

    codewhale-hq/Codewhale

    Capture screenshots on registered computers, record on macOS or HarmonyOS, and manage saved captures.

    41k GitHub stars~540 tokensUpdated today
    Productivity & AutomationAuto-check passed
  • Implementing Supply Chain Security With In Toto

    mukul975/Anthropic-Cybersecurity-Skills

    Implements supply chain integrity verification for container builds with the in-toto framework: generating signing keys, defining a supply chain layout, recording pipeline steps as signed link…

    34k GitHub stars~2.5k tokensUpdated 1 mo ago
    SecurityAuto-check passed
  • Capture architectural decisions as numbered ADR markdown files in docs/adr/ with context, alternatives considered, consequences, and an index README.

    276k GitHub starsUsed in 4 repos~1.8k tokens
    DevelopmentAuto-check passed
  • 在Claude Code会话期间,将做出的架构决策捕获为结构化的架构决策记录(ADR)。自动检测决策时刻,记录上下文、考虑的替代方案和理由。维护一个ADR日志,以便未来的开发人员理解代码库为何以当前方式构建。

    276k GitHub starsUsed in 1 repo~863 tokens
    DevelopmentAuto-check passed
  • コーディングセッション中にアーキテクチャ決定を構造化ADRとして記録し、自動的に決定の瞬間を検出し、コンテキスト、検討された代替案、根拠を記録します。今後の開発者がコードベースの形成理由を理解するためのADRログを維持します。

    276k GitHub stars~1.1k tokensUpdated today
    DevelopmentAuto-check passed

More from AlpacaLabsLLC/skills-for-architects

All 60 skills in this repo
  • Color Palette Generator

    AlpacaLabsLLC/skills-for-architects

    Create an HTML color palette from a mood, description, or image, with swatches, color codes, pairings, and contrast checks.

    373 GitHub stars~2.4k tokensUpdated 4 days ago
    Auto-check passed
  • Demographics Analysis

    AlpacaLabsLLC/skills-for-architects

    Research population, income, age, housing, and employment around a site.

    373 GitHub stars~2.4k tokensUpdated 4 days ago
    Auto-check: notes
  • Environmental Analysis

    AlpacaLabsLLC/skills-for-architects

    Research climate, sun, flood, seismic, soil, contamination, and topography for a site.

    373 GitHub stars~2.7k tokensUpdated 4 days ago
    Auto-check: notes
  • Mobility Analysis

    AlpacaLabsLLC/skills-for-architects

    Research transit, walking, cycling, pedestrian infrastructure, and airport access for a site.

    373 GitHub stars~2.3k tokensUpdated 4 days ago
    Auto-check: notes
  • Product Data Cleanup

    AlpacaLabsLLC/skills-for-architects

    Clean a local FF&E CSV schedule by normalizing casing, dimensions, units, language, materials, and formatting.

    373 GitHub stars~4.3k tokensUpdated 4 days ago
    Auto-check: notes
  • Product Enrich

    AlpacaLabsLLC/skills-for-architects

    Enrich FF&E schedule rows with categories, colors, materials, and style tags.

    373 GitHub stars~3.3k tokensUpdated 4 days ago
    Auto-check: notes

Questions about Product Data Import

What does Product Data Import do?

Normalize supplied FF&E information and record accepted document-job inputs with exact product tags and source hashes. Product Data Import is an agent skill from AlpacaLabsLLC/skills-for-architects. Normalize supplied FF&E information and record accepted document-job inputs with exact product tags and source hashes.

When should I use Product Data Import?

Product Data Import fits situations like: reusable library saves and schedule adoption go to their record owners.

How do I install Product Data Import in Claude Code?

Run `npx skills add AlpacaLabsLLC/skills-for-architects --skill product-data-import -a claude-code`. Or copy the skill folder (skills/product-data-import in AlpacaLabsLLC/skills-for-architects) into .claude/skills/product-data-import in your project. Claude Code loads it when a task matches its description.

How do I install Product Data Import in Codex?

Run `npx skills add AlpacaLabsLLC/skills-for-architects --skill product-data-import -a codex`. Or copy the skill folder (skills/product-data-import in AlpacaLabsLLC/skills-for-architects) into .agents/skills/product-data-import in your project. Codex loads it when a task matches its description.

Can I use Product Data Import 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 AlpacaLabsLLC/skills-for-architects --skill product-data-import -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-data-import, .gemini/skills/product-data-import, .github/skills/product-data-import and .opencode/skills/product-data-import in your project.

What does Product Data Import need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Data Import is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion.

Does Product Data Import 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 Product Data Import safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Product Data Import use?

Product Data Import 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 Product Data Import use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 Product Data Import?

Skills that share tags, products or a category with Product Data Import: Import (asgeirtj/system_prompts_leaks, 69k stars), Recording (codewhale-hq/Codewhale, 41k stars), Implementing Supply Chain Security With In Toto (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Architecture Decision Records (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Data Import?

AlpacaLabsLLC (a GitHub organization) maintains it in AlpacaLabsLLC/skills-for-architects, which has 373 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on October 5, 2026.

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