14 skills (repositories by Kiln-AI) · sorted by popularity
Check a Kiln branch or pull request through real browser interactions. Multiple agents test separate feature areas in isolated environments, then combine findings into a severity-ranked Markdown report with reproduction steps and expected versus actual behavior.
Apply Kiln’s coding rules when editing or reviewing Python, TypeScript, and Svelte. The skill combines area-specific guidance with a script that checks changed lines, plus manual checks for architecture, configuration handling, shared state, and asynchronous operations.
Maintain Kiln’s list of large language models by discovering new releases, testing provider access, and marking unavailable entries as deprecated. Prepare pull requests, report unresolved issues, and check whether the updated list needs publication.
Prepare Kiln pull requests with clear explanations of the changes, checks, and merge dependencies. Preserve sections reserved for human decisions, keep descriptions current after updates, and handle review comments and automated check failures with user consent.
Validate a Kiln release candidate with standard code checks and selected tests against live APIs. Diagnose failures, inspect outdated model selections and coverage gaps, and produce a report with recommended actions without changing code or tests.
Assign incoming support tickets to the team best placed to resolve them and set priority based on customer impact. Handle cases involving two teams, and write brief internal summaries describing the problem and what the customer already tried.
Draft first replies to customers and identify tickets that require human review before sending. The skill defines sensitive cases to escalate and guides replies that explain the next action, name who handles it, and match the customer's tone.
Prepare a release recap from changes merged since the last release tag. Group work by author, count features, bug fixes, and maintenance tasks, and post the reviewed summary to Slack for final quality checks.
Find documentation and agent instructions made outdated by a branch’s code changes. Update affected paths, commands, settings, and behavior descriptions in place, then commit the documentation fixes alongside the code in the same pull request.
Check whether Kiln’s base models still support fine-tuning, the process of adapting a model with additional training. Compare configured identifiers and Fireworks’ allowlist with provider information, then report unsupported entries and recommend specific updates.
Build and update Kiln screens using shared interface components and established styles. The skill guides component planning, comparison with reference screens, automated rule checks, and a review handoff containing evidence of consistency and any justified exceptions.
Audit Kiln’s model list against provider APIs and catalogs to identify removed models and upcoming retirements. Get findings organized by provider, then mark affected entries as deprecated after reviewing and approving the proposed changes.
Add AI models to Kiln or find available models missing from its list. The skill checks provider model identifiers and capabilities, updates model settings, runs tests against real APIs, and drafts a Discord announcement.
Inspect Kiln’s interface in a real browser, capture screenshots, and run or debug end-to-end tests that check complete user flows. A sandbox with sample project data provides populated screens for checking UI changes.