Humanize AI-written text — write or rewrite prose so it doesn't read as AI. Light/heavy depth, editable house-rules overlay, deep detection engine, iterate-to-convergence.
Silent-executor mode. Give it a task, it says "yaparım...", does the work, says "tamam." — no explanation, summary, code block, progress note or task list in between. Questions still get full answers. Commands: /oduncu kalk — mode on /oduncu yat — mode off /oduncu talk — trace on: the completion line carries the.
★not rated 5▲
+1 23d agoA
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originalMIT
Licence-vetted systems-engineering knowledge-pack skills for coding agents, reconstructed from genuinely open sources. Tooling MIT; pack content under each source's own licence.
Agentic software-delivery loop: turn specs into a dependency-ordered GitHub Issues backlog, then let agents claim, implement, adversarially review, patch, and merge tasks in isolated git worktrees behind a single correctness gate.
★not rated 5 2mo agoA
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originalMIT
Analyse de profil GitHub orientée objectif : eval README, détection marqueurs IA, signaux recruteur, conseils keywords et SEO. Né du live TPC GitHub Roast.
Linear integration: kanban board, cycle management, issue archive/delete, and comment edit/delete. Uses official Linear MCP for standard CRUD operations.
★not rated 5▲
+1 6mo agoA
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originalMIT
A bundle for product docs and the tasks that come out of them. Write a spec against a format and verify it before it ships; turn a request thread into a task's context table; file that task in your engineering tracker and keep the two sides reconciled. Where things are stored is decided by config.
Session-state handoff for Claude Code: hooks auto-snapshot at SessionEnd/PreCompact and auto-load at SessionStart. Rebuilds lost handoffs from per-turn backups, keeps rotating history, nudges at 40% context, and HMAC-signs handoffs so cloned repos can't inject trusted rules.
★not rated 5
changed 2d agoA
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originalMIT
A plan/execute/verify loop for a single developer in Claude Code, with adversarial review at every gate: plans and diffs get refuted by a fresh Claude subagent or a panel of outside models (OpenAI, Gemini, DeepSeek), not just approved. State lives in files, not the conversation, so you clear aggressively and keep both.
Local web dashboard and CLI for /.claude config visualization — measured per-session token cost, install-vs-used gaps, and a review-first cleanup script for plugins, agents, skills, hooks, and MCP servers.
★not rated 5 1mo agoA
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originalMIT
FullEnrich MCP search, enrichment, and CSV/JSON export for AI agents. Find prospects, enrich verified emails and phone numbers via waterfall enrichment (25+ data providers), and export results. Includes 9 guided skills for prospecting, CSV enrichment, outreach, sequences, meeting prep, talent sourcing, lookalikes, org.
An opinionated governance layer for Claude Code, built for solo developers: autonomous sprint execution in isolated git worktrees, mandatory TDD, quality gates, pre-PR code review, and structured planning — workflow enforced by hooks, not just rules.
★not rated 5 1mo agoA
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originalMIT
Your AI on rails. On your terms. An open-source protocol engine that puts every process on rails — enforced as it happens, so your AI can't fake the work.
★not rated 5 1mo agoA
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originalMIT
Evidence Anchors for agent-written design docs: load-bearing claims about existing code carry citations a deterministic checker re-verifies. Includes the authoring skill and a [false-premise] reviewer kit.
★not rated 5 yesterdayA
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: