Codebase Management
giancarloerra/SocratiCode
Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.
Set up, inspect and complete Overmind Optimiser experiments for prompt/code changes or model comparisons.
Install Overmind Optimiser
$ npx skills add overmind-core/overmind --skill overmind-optimiser -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install overmind-core/overmind overmind-optimiser --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/overmind/skills/overmind-optimiser .claude/skills/overmind-optimiser && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "overmind-optimiser" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiser into .claude/skills/overmind-optimiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-optimiser", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiserType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add overmind-core/overmind --skill overmind-optimiser -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install overmind-core/overmind overmind-optimiser --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/overmind/skills/overmind-optimiser .agents/skills/overmind-optimiser && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "overmind-optimiser" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiser into .agents/skills/overmind-optimiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-optimiser", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add overmind-core/overmind --skill overmind-optimiser -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install overmind-core/overmind overmind-optimiser --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/overmind/skills/overmind-optimiser .cursor/skills/overmind-optimiser && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "overmind-optimiser" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiser into .cursor/skills/overmind-optimiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-optimiser", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/overmind-core/overmind.git --path overmind/skills/overmind-optimiser--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add overmind-core/overmind --skill overmind-optimiser -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install overmind-core/overmind overmind-optimiser --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/overmind/skills/overmind-optimiser .gemini/skills/overmind-optimiser && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "overmind-optimiser" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiser into .gemini/skills/overmind-optimiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-optimiser", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install overmind-core/overmind overmind-optimiserInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add overmind-core/overmind --skill overmind-optimiser -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .github/skills && cp -r skills-src/overmind/skills/overmind-optimiser .github/skills/overmind-optimiser && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "overmind-optimiser" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiser into .github/skills/overmind-optimiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-optimiser", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add overmind-core/overmind --skill overmind-optimiser -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install overmind-core/overmind overmind-optimiser --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/overmind/skills/overmind-optimiser .opencode/skills/overmind-optimiser && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "overmind-optimiser" agent skill from https://github.com/overmind-core/overmind/tree/main/overmind/skills/overmind-optimiser into .opencode/skills/overmind-optimiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "overmind-optimiser", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
overmind-optimiser- GitHub stars
- 544
- Token cost
- ~771 tokens
- SKILL.md length
- 393 words
- Files
- 3 (incl. assets)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Set up, inspect and complete Overmind Optimiser experiments for prompt/code changes or model comparisons.
- Improving a capability through measured candidates and a local repository executioner
- SKILL.md covers Choose the experiment, Execute within the approved… and Inspect and land
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Overmind Optimiser is an agent skill from overmind-core/overmind. Set up, inspect and complete Overmind Optimiser experiments for prompt/code changes or model comparisons. Use when improving a capability through measured candidates and a local repository executioner.
Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including assets (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering. It works with Model Context Protocol. The repository describes itself as: The platform for continuously improving AI agents. The licence is AGPL-3.0.
When your agent uses it
- Improving a capability through measured candidates and a local repository executioner
Example prompts
- “/overmind-optimiser”
What it can do on your machine
Read from SKILL.md and the folder at commit 2c65378. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Overmind Optimiser loads about 771 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 393 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from overmind-core/overmind at commit 2c65378, republished under its AGPL-3.0 licence (© overmind-core). 393 words, ~771 tokens.
Download SKILL.mdSave it as
.claude/skills/overmind-optimiser/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- overmind-optimiser
- description
- Set up, inspect and complete Overmind Optimiser experiments for prompt/code changes or model comparisons. Use when improving a capability through measured candidates and a local repository executioner.
Overmind Optimiser
Start with list_projects and choose the intended accessible project. For an
account connection, pass its project_id on every project tool and resource
URI query; follow returned links. Project API keys retain their narrower access.
Find a measured improvement while preserving the experiment's own baseline and the user's selected task. Use the chosen MCP project and resolve all dataset and capability references from its returned records.
Choose the experiment
Distinguish prompt/code optimization from model comparison. Prefer the native
optimize-capability prompt for the first, or compare-models for a selected
model list. Check the current schema for optimize, model_comparison or
hybrid mode; do not silently substitute one for another.
Use list_datasets, inspect_dataset and query_dataset to select a fitting
eval cell. Call check_optimizer_readiness with that cell, capability, mode,
eval set and requested models. Explain missing executioner, model, credit or
quota prerequisites. The dataset stays on the server; a local file must be
landed before an experiment can use it.
Execute within the approved scope
After the mode, candidate scope and spend are authorized, start_optimizer
creates the experiment. MCP schedules and reports it; a local executioner runs
repository commands and candidates. Do not claim that a scheduled experiment
has executed or that MCP can apply a repository diff.
Follow the returned next_action and exact command in the intended checkout.
Use local overmind optimise ... --help for commands unavailable in the client.
If the client cannot run local code, provide that handoff and continue read-only
status inspection. Preserve existing repository changes.
The experiment scores its own baseline iteration. Do not create a separate baseline run and use it as the improvement gate. Candidate changes must solve the task rather than encode held-out answers. Stop at the returned completion or plateau checkpoint; do not extend the search budget without authorization.
Show full SKILL.md (99 more words)Show less
Inspect and land
Use inspect_optimizer_result, overmind://optimizer-runs/{experiment} and
get_job(kind=optimizer_experiment, id=...) for progress, coverage, failures,
candidate scores and the winner. A terminal run may retain the incumbent.
Describe partial coverage and incomplete evaluations before naming a winner.
Present the winning diff and its measured delta against the experiment's own baseline. Apply it locally only when landing that change is authorized; changing code, switching the live serving alias and selecting a benchmark are distinct actions. Report whether a change was merely proposed or actually applied.
Open optimiser/{experiment_id} under the project's Console base with the same
projectId when a visual result is useful.
© overmind-core, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (assets) in overmind/skills/overmind-optimiser of overmind-core/overmind.
- SKILL.md
- agents/openai.yaml
- assets/icon.png
Open the folder on GitHubat commit 2c65378
Compare with similar skills
Overmind Optimiser next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Overmind Optimiser this skillovermind-core/overmind | 544 | — | ~771 | Automated safety check: Pass | AGPL-3.0 | |
| Codebase Managementgiancarloerra/SocratiCode | 3.3k | 1 repos | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Hugging Face LLM Trainerhuggingface/skills | 11k | 3 repos | ~7.2k | Automated safety check: Pass | Apache-2.0 | |
| Tool Use Data Synthesissunny-glow/Auto-BenchMax | 1.3k | — | ~3.3k | Automated safety check: Pass | None | |
| Sandbaseiflytek/skillhub | 5.2k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| MCP Local RAGshinpr/mcp-local-rag | 407 | — | ~4.4k | Automated safety check: Pass | MIT |
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Questions about Overmind Optimiser
What does Overmind Optimiser do?
Set up, inspect and complete Overmind Optimiser experiments for prompt/code changes or model comparisons. Overmind Optimiser is an agent skill from overmind-core/overmind. Set up, inspect and complete Overmind Optimiser experiments for prompt/code changes or model comparisons.
When should I use Overmind Optimiser?
Overmind Optimiser fits situations like: improving a capability through measured candidates and a local repository executioner.
How do I install Overmind Optimiser in Claude Code?
Run `npx skills add overmind-core/overmind --skill overmind-optimiser -a claude-code`. Or copy the skill folder (overmind/skills/overmind-optimiser in overmind-core/overmind) into .claude/skills/overmind-optimiser in your project. Claude Code loads it when a task matches its description.
How do I install Overmind Optimiser in Codex?
Run `npx skills add overmind-core/overmind --skill overmind-optimiser -a codex`. Or copy the skill folder (overmind/skills/overmind-optimiser in overmind-core/overmind) into .agents/skills/overmind-optimiser in your project. Codex loads it when a task matches its description.
Can I use Overmind Optimiser in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add overmind-core/overmind --skill overmind-optimiser -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/overmind-optimiser, .gemini/skills/overmind-optimiser, .github/skills/overmind-optimiser and .opencode/skills/overmind-optimiser in your project.
What does Overmind Optimiser need to run?
SKILL.md names no scripts, command-line tools or credentials: Overmind Optimiser is instructions for the agent only.
Does Overmind Optimiser access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Overmind Optimiser safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Overmind Optimiser use?
Overmind Optimiser is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Overmind Optimiser use?
About 771 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Overmind Optimiser?
Skills that share tags, products or a category with Overmind Optimiser: Codebase Management (giancarloerra/SocratiCode, 3.3k stars), Hugging Face LLM Trainer (huggingface/skills, 11k stars), Tool Use Data Synthesis (sunny-glow/Auto-BenchMax, 1.3k stars) and Sandbase (iflytek/skillhub, 5.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Overmind Optimiser?
overmind-core (a GitHub organization) maintains it in overmind-core/overmind, which has 544 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 6, 2026.
Source: overmind-core/overmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.