Gauntlet Curate
Survey the DSA problem bank, identify coverage gaps, and propose new YAML entries for human review.
When This Skill Fires
Invoke this skill manually with Skill(gauntlet:gauntlet-curate) when the problem bank needs a coverage review. The skill is intended to participate in /update-plugins runs but is not yet wired into that command (see openpackage.yml registration). It is distinct from gauntlet:curate, which handles per-annotation knowledge capture and is what /gauntlet-curate invokes today.
Steps
- Locate the problem bank at
plugins/gauntlet/data/problems/.
Read _manifest.yaml to load the expected NeetCode counts per category.
- Survey current coverage by counting problems in each YAML
file (skipping _manifest.yaml). Run the analysis script:
``bash cd plugins/gauntlet python scripts/curate_problems.py data/problems/ --output /tmp/gauntlet-curate-report.md ``
- Identify gaps: categories whose actual count falls below
the neetcode_count in the manifest. The script sorts gaps largest-first so the worst shortfalls appear at the top.
- Review existing problems in each gap category to understand
what is already covered before proposing additions.
- Propose new YAML entries following the schema below.
Add proposals to the report under "Proposed New Problems". Do NOT write proposals directly into data/problems/*.yaml.
- Validate proposals by running:
``bash python -c " import yaml, sys sys.path.insert(0, 'src') from gauntlet.models import BankProblem proposals = yaml.safe_load(open('proposals.yaml')) for p in proposals: BankProblem.from_dict(p) print('All proposals valid.') " ``
- Present the report to the human for review.
The report includes the coverage table, gap list, and proposed entries. The human decides which proposals to merge into the YAML files.
Problem Schema
Each proposed entry must follow this schema:
- id: category-NNN
title: Problem Title
difficulty: easy # easy | medium | hard | extra_hard
prompt: |
Problem statement with constraints and examples.
hints:
- First hint.
- Second hint.
solution_outline: |
Approach and time/space complexity.
tags: [tag1, tag2]
neetcode_id: neetcode-NNN
challenge_type: explain_why # explain_why | multiple_choice | trace
# | code_complete | debug | rank
Required fields: id, title, difficulty, prompt. Optional fields default to empty values.
Safety Constraints
- Never modify files under
data/problems/directly. - Never run with a
--writeor--fixflag: the script
intentionally has none.
- All output is a proposal report for human approval.
- Existing hand-curated problems are never touched.
Output
A markdown report at the path specified by --output, containing:
- Coverage summary table (expected vs. actual per category)
- Gaps list sorted by missing count
- YAML schema template for new proposals
- Space for the human reviewer to add proposed entries
Human review is required before any YAML file changes.