Hivemind turns agent traces into skills and shares with your team
Hivemind turns your traces into reusable skills across agents - activeloopai/hivemind
Hivemind turns agent traces into skills and shares with your team launched on May 11, 2026 with 5 votes, #2,008 of 20,538 launches that month and more than 75% of that year's launches.
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AI Agent Skills RefinerMar 2026 · skills-refiner.com · ▲85Skills with 210k GitHub Data & Translate/Refine &Benchmark
- TATraces: A new way to share and discover agent tracesMar 2026 · traces.com · ▲13
Traces is a new way to share and discover agent traces. You can setup a personal or team account, and share publicly or privately (in a team). We use Traces internally to capture and share our agent conversations. Every PR has a Traces link attached to it. We even have skills that can automate that for you (run 'traces setup' after install). You might ask: 1) Why would I share traces? Well, we have found ourselves wanting to learn from each other on how to prompt different models and agents. We built Traces as a tool for teams to learn that together, and for us to learn that as an open…
SkillForgeFeb 2026 · skillforge.expert · ▲102Stop repeating the same clicks and typing every day. Record a task once and SkillForge turns it into a skill your AI assistant (Claude, ChatGPT) replays for you. No coding. Free to start.
Epismo Agent PackageApr 2026 · epismo.ai · ▲106Hi HN, I’m Hiroki, founder of Epismo. Every day, people share “must-use” prompts, but copying a single prompt rarely reproduces real outcomes. The missing piece is the workflow: task decomposition, step order, intermediate artifacts, and quality checks. So I built Workflow Hub, an open library of human-AI workflows you can clone and run. Each workflow includes step definitions, inputs, expected artifacts/outputs, and verification checks, so you can copy the whole process, not just a prompt. You can clone a workflow, customize it, then execute it in Epismo with the best agent for each…

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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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