agentsclimarketplace

Develop contribution

Skill VincenzoImp/academic-research-skills/skills/develop-contribution

Use when creating a new contribution (analysis, experiment, dataset, software, reproduction) or regularizing a draft folder into badge compliance with its LaTeX report.From its SKILL.md

Install
npx -y skills add VincenzoImp/academic-research-skills --skill develop-contribution

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.5 KB, 775 tokens by cl100k_base, as published. Nobody here has run it

Develop Contribution

Create or regularize one contributions/<slug>/ folder: badge-general compliant, self-contained, with a report/report.tex detailed enough that paper writing never needs to re-read the code.

Read First

  • contributions/README.md — the badge-general contract
  • survey/survey.pdf, gaps section — when positioning a new contribution
  • references/methodology.md — evaluation, statistics, figure discipline
  • references/experiments.md — run logs and autonomous campaigns
  • references/reproduction.md — reproducing external work
  • references/ethics.md — data red flags
  • references/data.md — data placement and inter-contribution data dependencies (when the contribution has shared/large data or consumes another contribution's output)

Before Building (both modes)

Fill the Positioning section of the contribution README:

  • the claim this contribution will support
  • the delta vs the nearest prior work (cite survey/SOTA citekeys)
  • the evidence plan: what will be measured or collected, and how
  • the falsifiability condition: what outcome would refute the claim

If the claim has no evidence path, stop and discuss with the user.

Create Mode

  1. Copy contributions/_template/ to contributions/<slug>/ (kebab-case slug).
  2. Python code? Write the contribution's own pyproject.toml (name, requires-python, dependencies), add "contributions/<slug>" to [tool.uv.workspace] members in the root pyproject.toml, run uv sync --all-packages from the root (plain uv sync prunes the members' dependencies on a package = false root). Genuinely conflicting dependencies → move the path to exclude, create a local venv, document it in the README.
  3. Develop inside the folder — free-form structure (src/, data/, figures/, outputs/, notebooks). Follow references/methodology.md for any evaluation; keep a run log per references/experiments.md for every run that supports a claim, including autonomous campaigns. For reproductions of external work, follow references/reproduction.md.
  4. Fill the README badge checklist truthfully — every checked box has evidence inside the folder. Check data against references/ethics.md.
  5. Write report/report.tex: motivation, positioning vs the SOTA (cite the root .bib), method, setup, results with figures/tables, limitations. Build it: make contribution C=<slug>.
  6. Run make check.

Regularize Mode

  1. Inventory the draft folder: what exists, what it claims, what is missing against the badge checklist.
  2. Reorganize in place — keep provenance (note original filenames when renaming), capture the environment, verify the run path works end-to-end, record data provenance and ethics flags.
  3. Continue with Create Mode steps 4–6.

Rules

  • Self-contained: no imports from other contributions; tooling worth sharing becomes its own contribution referenced in the README. If the input is another contribution's output, declare it and read it in place — never copy (see references/data.md).
  • Exploratory results never masquerade as confirmed evidence — label them.
  • Negative results are results: report them in report.tex.

Done When

  • Badge checklist fully and truthfully checked, report.pdf built, workspace coherent, make check passes

What ships with it: 5 files

5.5 KB alongside SKILL.md

Keep looking

Skills are one crate of 326,499. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.