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DataSLDataSL/datasl/.cursor/rules/datasl.mdc

datasl / rules

Cursor rule0 starsChanged 18 days agoMITView on GitHub

Working on the Data SL Consulting toolkit (datasl CLI and SDKs, agent skill, plugin manifests) or writing code that calls the Data SL Consulting public API or MCP server

  • Where files are headingNew Cursor rule files have more rules about planning and tracking tasks, and fewer about code style.

    Of the Cursor rule files we read, the 4,183 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.

  • In this repository3 other files it gives its agents.

The file

We split this datasl.mdc into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Keep js/ and python/ dependency-free and behaviourally identical (same commands, --json output, exit codes 0/1/2).

    line 21
  2. Distinctive:

    Never hard-code prices or offers: the API is the source of truth.

    line 23
  3. Very specific:

    Run cd js && npm test and cd python && PYTHONPATH=src python -m unittest discover -s tests before proposing a change.

    line 25

≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
datasl.mdc
---
description: Working on the Data SL Consulting toolkit (datasl CLI and SDKs, agent skill, plugin manifests) or writing code that calls the Data SL Consulting public API or MCP server
globs: ["js/**", "python/**", "skills/**", "*.json"]
alwaysApply: false
---

# Data SL Consulting toolkit

Full instructions: see `AGENTS.md` at the repository root.

## API facts

- REST base URL: `https://data-slconsulting.com/wp-json/datasl/v1` (read-only, public, no authentication). OpenAPI 3.1: https://data-slconsulting.com/openapi.json
- Routes: `GET /offres` (filters `cible`, `categorie`, `champs`), `GET /offres/{slug}`, `GET /cabinet`, `GET /contact`; search: `GET /wp-json/wp/v2/search?search=...`
- MCP server: `https://data-slconsulting.com/api/mcp-server` (Streamable HTTP; tools `get_offers`, `search_site`, `fetch_page`).
- Errors: JSON `{"code", "message", "data": {"status", "hint"}}`; show `hint` to the user.
- Rate limit: 120 requests per minute per IP (`RateLimit-Policy`, `RateLimit` headers); on 429, wait `Retry-After` seconds.

## Rules

- Keep `js/` and `python/` dependency-free and behaviourally identical (same commands, `--json` output, exit codes 0/1/2).
- Validate inputs before any network call; `lire` only reads pages of data-slconsulting.com.
- Never hard-code prices or offers: the API is the source of truth.
- User-facing text stays in French.
- Run `cd js && npm test` and `cd python && PYTHONPATH=src python -m unittest discover -s tests` before proposing a change.

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Your trail

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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.