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SkillsMP has collected 12 skills from griddynamics/specflow. Open a skill to review its source and details.
Showing 12 of 12 collected skills.
Create well-structured git commits with clear, conventional commit messages. Use this skill whenever the user asks to commit changes, "commit this", "save my work", "make a commit", "write a commit message", or after completing a coding task when changes need…
After substantive edits under backend/app, run static checks and optional Radon complexity (matches Makefile and Cursor post-write hook intent).
Generate a customer-specific deployment requirements document from the template. Takes customer name and known infrastructure details as input. Produces a filled-in requirements spec ready for human review before sending to the customer.
Classify a fix made to a GAIN-generated workspace app and propagate it to the right level — GAIN harness prompt, spec template, or documentation. Prevents the same issue from recurring in future runs.
Update the current PR description based on commits vs main. Writes a concise summary, entrypoint, and details section.
Break down pure-Python lines-of-code changes per file for a PR (or two git refs), excluding non-.py files, blank lines, comments, and docstrings. Uses an AST/tokenize-based programmatic counter — never hand-counted. Input format: "<PR_NUMBER>" (e.g. "277") or…
Generate release notes between two git tags and publish as a GitHub release. Input format: "<new-tag> from <base-tag>" (e.g. "v0.5.2 from v0.5.0").
Assess how SpecFlow can be applied to a potential customer based on their specs, requirements, screenshots, and descriptions. Produces a sliding-scale fit report — always finds an angle of use, lists enablers and feature requests where needed, and only…
Analyze spec completeness locally — gap detection across all architectural dimensions. No backend required. Repeatable as specs evolve.
Compare and assemble code from 1–3 SpecFlow-generated workspace repos. Produces per-workspace inventory, a side-by-side comparison matrix, interactive component selection, and a concrete file-level assembly plan for migration to a production repo.
Diagnose errors and symptoms from a SpecFlow-deployed app. Collects observables (logs, error messages, infra state), identifies root cause through guided discovery, and proposes fixes appropriate to each actor — SpecFlow agent re-run, operator intervention,…
Create a phased implementation plan locally from specs and analysis output. No backend required. Produces IMPLEMENTATION_PLAN.md and optionally e2e-test-plan.md.