Reconstruct missing project history safely
Publisher
Skills by antreasantoniou
28 published skills, 22 installs in total.
Challenge ML claims with code and falsification
Turn conversations into grounded decisions
Govern and actively monitor collaborative agent work
Design and compose multi-agent graphs for correctness, coverage, or creativity. Use when a task benefits from isolated proposals, explicit arbitration, adversarial verification, committees, recursive review, cross-modal checks, or saturation loops. Applies across agent runtimes; the included JavaScript workflow is one adapter.
One secure Bitwarden unlock per 24 hours
Run a test-sandwiched multi-agent build pipeline
Design or audit self-describing ML run metadata attached at initialization, including intent, code and data identity, resume lineage, and evidence limits. Use when wiring a tracker, introducing a run naming pattern, or investigating why a run exists.
Durable memory for projects and research
Narrative-aware, approval-gated inbox triage
Preserve durable context across every Archivum
Propose a canonical home, concrete consumers, and any justified runtime home for a reusable tool, library, skill, document, or workflow. Use after building a reusable capability or when asked where it should live; execution requires approval of exact targets and actions.
Use GCP without recurring browser OAuth
Find relevant people and grow your professional network
Sync Claude and Codex project progress
Run a Byzantine 2+1 plan before consequential work and a fresh, plan-blind reality check afterward. Use when the user asks for Plus Ultra, maximum rigor, independent proposals, enforced verification, or help responding to a Plus Ultra hook gate. Claude Code can enforce the loop through the included hook adapter; on Codex and other hosts it is a convention unless separately wired and verified.
Evidence-backed browser and API test plans
Review author-written applications, essays, bios, proposals, and important correspondence through explicitly synthetic, contrasting review lenses while preserving the author's voice and final editorial authority. Use for substantive critique and author-led revision, not impersonation or automatic submission.
Prepare and verify a checkpoint-based handoff of agent work to another host or session while preserving context, permissions and single-writer ownership. Use when the user requests moving ongoing work or continuing after a local disconnect; this is not live process migration.
Design and visually review print-ready PDFs
Find and open locally running web interfaces
Design and configure self-contained recurring agent checks with explicit targets, authority, change-sensitive reporting and stop conditions. Use for requested monitoring, reminders or follow-ups; use the included Meta-Pulse guidance when reviewing existing watches.
Explore a design or strategy decision through distinct straightforward, hybrid and creative approaches, with concrete tradeoffs and a reasoned recommendation. Use when the user wants options before choosing, not after they have already decided.
Track per-project Claude usage estimates and local GPU budgets, preview admission, atomically reserve capacity, and reconcile actual usage with a local dashboard.
Maintain an explicit Markdown commitments ledger with a local cockpit for NOW, next actions, deadlines, waiting items, workstream states and inbox capture.
Validate, plan and explicitly dispatch provenance-linked ML experiments using the bundled Python runtime, with budget reservations and durable result bundles.
Back up selected local Claude and Codex session stores additively into an explicitly chosen private destination, with a no-write preview.
Build a source-indexed navigation layer over a private Claude JSONL session, preserving evidence locations and uncertainty without reproducing private reasoning.
About Ottermind skills
Every published skill from antreasantoniou. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.
- What is an Ottermind skill?
- A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
- How do I install and use a skill?
- Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
- Can I create my own skill?
- Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
- Do skills cost extra?
- Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.