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    <title>DEV Community: Tanishq Agarwal</title>
    <description>The latest articles on DEV Community by Tanishq Agarwal (@tanishq286).</description>
    <link>https://dev.to/tanishq286</link>
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      <title>DEV Community: Tanishq Agarwal</title>
      <link>https://dev.to/tanishq286</link>
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      <title>Cut my always-loaded Claude Code context by 57.5% (7,337 -&gt; 3,121 tokens) and built a model-compatibility lint + skill factory (tq-forge, MIT)</title>
      <dc:creator>Tanishq Agarwal</dc:creator>
      <pubDate>Fri, 13 Nov 2026 16:52:18 +0000</pubDate>
      <link>https://dev.to/tanishq286/cut-my-always-loaded-claude-code-context-by-575-7337-3121-tokens-and-built-a-2oba</link>
      <guid>https://dev.to/tanishq286/cut-my-always-loaded-claude-code-context-by-575-7337-3121-tokens-and-built-a-2oba</guid>
      <description>&lt;p&gt;After building dozens of custom skills and subagents in Claude Code, two problems kept biting me:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Always-loaded skill definitions were burning 7,300+ tokens before I even typed a prompt.&lt;/li&gt;
&lt;li&gt;A skill that worked great on Opus would quietly degrade on Sonnet or Haiku—and pinned model IDs in templates kept going stale.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;So I built &lt;strong&gt;tq-forge&lt;/strong&gt; (MIT) — an open-source CLI and Claude Code plugin that scaffolds, learns, scores, compresses, and promotes skills and 5-file subagents.&lt;/p&gt;

&lt;h3&gt;
  
  
  What it actually does under the hood
&lt;/h3&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Lossless Context Optimizer (&lt;code&gt;/savings&lt;/code&gt;):&lt;/strong&gt; Compresses always-loaded skill context without losing MCP server availability. On our test-suite benchmark fixture, it cut always-loaded tokens from &lt;strong&gt;7,337 down to 3,121 (-57.5%)&lt;/strong&gt;, and is 100% reversible with &lt;code&gt;restore&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;0–100 Structural Rubric + Model-Compatibility Lint:&lt;/strong&gt; Runs 320 deterministic scorer assertions and checks model compatibility before promoting any artifact from sandbox to production (&lt;code&gt;/tq-forge-test&lt;/code&gt;, &lt;code&gt;/tq-forge-promote&lt;/code&gt;).&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Forge from Intent or Auto-Learn (&lt;code&gt;/tq-forge-skill&lt;/code&gt;, &lt;code&gt;/tq-forge-agent&lt;/code&gt;, &lt;code&gt;/tq-forge-learn&lt;/code&gt;):&lt;/strong&gt; Generate a &lt;code&gt;SKILL.md&lt;/code&gt; or 5-file subagent from a one-line prompt—or point &lt;code&gt;/tq-forge-learn&lt;/code&gt; at a doc page, browser workflow, or technical thread to deduplicate links (&lt;code&gt;linkdedupe&lt;/code&gt;) and distill repeatable steps into a scored skill.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Weekly Model Sync:&lt;/strong&gt; Automated GitHub workflow that detects new Claude model IDs, updates templates, runs 165 unit tests, and opens a PR so agents don't drift onto retired models.&lt;/li&gt;
&lt;/ul&gt;

&lt;h3&gt;
  
  
  Install &amp;amp; Try
&lt;/h3&gt;

&lt;ul&gt;
&lt;li&gt;Claude Code Plugin Marketplace: &lt;code&gt;/plugin marketplace add tanishq286/tq-forge&lt;/code&gt;
&lt;/li&gt;
&lt;li&gt;npm CLI: &lt;code&gt;npx tq-forge install&lt;/code&gt;
&lt;/li&gt;
&lt;li&gt;GitHub (MIT): &lt;a href="https://github.com/tanishq286/tq-forge" rel="noopener noreferrer"&gt;https://github.com/tanishq286/tq-forge&lt;/a&gt;
&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Happy to share the scoring rubric or optimizer diff if anyone wants to inspect how the token compression works!&lt;/p&gt;




&lt;p&gt;If &lt;code&gt;tq-forge&lt;/code&gt; saves tokens or catches model drift in your Claude Code setup, &lt;strong&gt;drop a star on GitHub&lt;/strong&gt; (&lt;code&gt;https://github.com/tanishq286/tq-forge&lt;/code&gt;) — it helps other Claude Code builders discover the project and directly supports our open-source cross-model eval roadmap!&lt;/p&gt;

</description>
      <category>opensource</category>
      <category>ai</category>
      <category>claudecode</category>
      <category>productivity</category>
    </item>
    <item>
      <title>I Built a Token-Free Deterministic Scorer for AI Outputs (and Why Most 'Evals' Are Broken)</title>
      <dc:creator>Tanishq Agarwal</dc:creator>
      <pubDate>Wed, 10 Jun 2026 10:23:14 +0000</pubDate>
      <link>https://dev.to/tanishq286/i-built-a-token-free-deterministic-scorer-for-ai-outputs-and-why-most-evals-are-broken-na7</link>
      <guid>https://dev.to/tanishq286/i-built-a-token-free-deterministic-scorer-for-ai-outputs-and-why-most-evals-are-broken-na7</guid>
      <description>&lt;p&gt;Liquid syntax error: Unknown tag 'endraw'&lt;/p&gt;
</description>
      <category>ai</category>
      <category>claudecode</category>
      <category>devtools</category>
      <category>opensource</category>
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