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product-plugins

Official Tessl plugins published to the tessl workspace on the Tessl registry.

These are R&D-maintained plugins intended for production use.

Plugins

Plugin Description Badge
api Find and call Tessl API endpoints token-efficiently, without loading the whole openapi.json spec into context api version api evals
code-review The default review lenses for tessl code review, also run by the Tessl Code Review GitHub Action – each lens is its own skill, so a run can use one lens or several code-review version code-review evals
code-review-lens-creator Author a review lens for Tessl Code Review – establish the review question and the bar a finding has to clear, draft the lens, validate and backtest it against real changes, then publish and pin it code-review-lens-creator version code-review-lens-creator evals
code-review-setup Install Tessl Code Review into a GitHub repository: inspect the repo, agree the cadence and whether findings block, then write the thin caller workflow that invokes the Tessl Code Review Action code-review-setup version code-review-setup evals
default-skill-review The default tessl review rubric – an agentic reviewer that scores a skill's description and content, the same reviewer tessl review uses out of the box. Score skills against it, or fork it into a custom rubric default-skill-review version default-skill-review evals
plugin-creator Create a Tessl plugin: turn agent workflows and guardrails into a versioned bundle of skills, rules, hooks, and MCP servers, then validate and publish it plugin-creator version plugin-creator evals
review-plugin-creator Create a custom tessl review rubric – fork the default rubric, build one from scratch, or derive it from evidence (existing skills, PR feedback, agent logs) review-plugin-creator version review-plugin-creator evals
skill-guard Cross-agent guard that blocks agents from loading skills not managed by Tessl skill-guard version skill-guard evals
skill-optimizer Optimize your skills and plugins: review SKILL.md quality, generate eval scenarios, run evals, compare across models, diagnose gaps, and re-run until scores improve skill-optimizer version skill-optimizer evals

Install

tessl install tessl/skill-optimizer

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Tessl's official plugins published to the tessl workspace

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