LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Semantic search for memory. An agent skill from Qredence/agentic-fleet.
Install Recall
$ npx skills add Qredence/agentic-fleet --skill recall -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Qredence/agentic-fleet recall --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/Qredence/agentic-fleet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.fleet/context/system/recall .claude/skills/recall && 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 "recall" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/recall into .claude/skills/recall/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recall", 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/Qredence/agentic-fleet/tree/main/.fleet/context/system/recallType 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 Qredence/agentic-fleet --skill recall -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Qredence/agentic-fleet recall --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.fleet/context/system/recall .agents/skills/recall && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "recall" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/recall into .agents/skills/recall/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recall", 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 Qredence/agentic-fleet --skill recall -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Qredence/agentic-fleet recall --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.fleet/context/system/recall .cursor/skills/recall && 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 "recall" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/recall into .cursor/skills/recall/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recall", 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/Qredence/agentic-fleet.git --path .fleet/context/system/recall--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 Qredence/agentic-fleet --skill recall -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Qredence/agentic-fleet recall --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.fleet/context/system/recall .gemini/skills/recall && 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 "recall" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/recall into .gemini/skills/recall/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recall", 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 Qredence/agentic-fleet recallInstalls 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 Qredence/agentic-fleet --skill recall -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.fleet/context/system/recall .github/skills/recall && 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 "recall" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/recall into .github/skills/recall/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recall", 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 Qredence/agentic-fleet --skill recall -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Qredence/agentic-fleet recall --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Qredence/agentic-fleet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.fleet/context/system/recall .opencode/skills/recall && 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 "recall" agent skill from https://github.com/Qredence/agentic-fleet/tree/main/.fleet/context/system/recall into .opencode/skills/recall/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recall", 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
recall- GitHub stars
- 111
- Token cost
- ~445 tokens
- SKILL.md length
- 200 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Semantic search for memory. An agent skill from Qredence/agentic-fleet.
- Works in 4 steps: Formulate Your Query → Run the Search → Review Results → …
- Context from Chroma Cloud
- SKILL.md covers Workflow, Tips and Output Format
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Recall is an agent skill from Qredence/agentic-fleet. Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. It works with Python. The repository describes itself as: Adaptive Agentic AI Reasoning using Microsoft Agent Framework -- Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK. The licence is MIT.
When your agent uses it
- Context from Chroma Cloud
Example prompts
- “/recall”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Formulate Your Query
- Run the Search
- Review Results
- Refine if Needed
What it can do on your machine
Read from SKILL.md and the folder at commit 46a254b. 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
Recall loads about 445 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 200 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 Qredence/agentic-fleet at commit 46a254b, republished under its MIT licence (© Qredence). 200 words, ~445 tokens.
Download SKILL.mdSave it as
.claude/skills/recall/SKILL.md (or your agent's skills folder).- name
- recall
- description
- Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
Recall Memory
This skill allows you to search your memory system using semantic queries.
Workflow
Formulate Your Query: Think about what you're trying to find:
- A solution to a specific problem (e.g., "How do I fix CORS errors?")
- A pattern or best practice (e.g., "Python async patterns")
- Historical context (e.g., "What did we decide about routing?")
Run the Search: Execute the memory manager recall command:
bash uv run python .fleet/context/scripts/memory_manager.py recall "<your query>"Example:
bash uv run python .fleet/context/scripts/memory_manager.py recall "memory system implementation"Review Results: The system will return:
- Top matches from semantic memory (facts, decisions)
- Relevant skills from procedural memory (how-tos)
- Similarity scores to gauge relevance
- Source metadata (file paths, timestamps)
Refine if Needed: If results aren't relevant, try:
- More specific queries (add context/domain)
- Different terminology (synonyms)
- Breaking complex queries into simpler parts
Tips
- Use natural language - the system uses semantic search, not keyword matching
- Be specific - "fix DSPy routing errors" is better than "errors"
- Combine with other commands: recall → apply solution → learn new variation
- Check episodic memory separately if you need conversation history
Output Format
Results include:
- Matched text snippets
- Source file paths
- Relevance scores (0-1, higher = better match)
- Metadata (creation date, tags, etc.)
© Qredence, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .fleet/context/system/recall of Qredence/agentic-fleet.
Open the folder on GitHubat commit 46a254b
Compare with similar skills
Recall 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 |
|---|---|---|---|---|---|---|
| Recall this skillQredence/agentic-fleet | 111 | — | ~445 | Automated safety check: Pass | MIT | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Paddle Design DistributedPaddlePaddle/Paddle | 24k | — | ~660 | Automated safety check: Pass | Apache-2.0 |
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Chroma Vector Database
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Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
CLIP Image-Text Matching
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Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
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Related
Works with
Categories
Questions about Recall
What does Recall do?
Semantic search for memory. An agent skill from Qredence/agentic-fleet. Recall is an agent skill from Qredence/agentic-fleet. Semantic search for memory.
When should I use Recall?
Recall fits situations like: context from Chroma Cloud.
How do I install Recall in Claude Code?
Run `npx skills add Qredence/agentic-fleet --skill recall -a claude-code`. Or copy the skill folder (.fleet/context/system/recall in Qredence/agentic-fleet) into .claude/skills/recall in your project. Claude Code loads it when a task matches its description.
How do I install Recall in Codex?
Run `npx skills add Qredence/agentic-fleet --skill recall -a codex`. Or copy the skill folder (.fleet/context/system/recall in Qredence/agentic-fleet) into .agents/skills/recall in your project. Codex loads it when a task matches its description.
Can I use Recall 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 Qredence/agentic-fleet --skill recall -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recall, .gemini/skills/recall, .github/skills/recall and .opencode/skills/recall in your project.
What does Recall need to run?
SKILL.md names no scripts, command-line tools or credentials: Recall is instructions for the agent only. Our summary lists: Python 3.
Does Recall 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 Recall 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 Recall use?
Recall is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Recall use?
About 445 tokens (SKILL.md is roughly 1.8k 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 Recall?
Skills that share tags, products or a category with Recall: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars) and CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Recall?
Qredence (a GitHub organization) maintains it in Qredence/agentic-fleet, which has 111 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 13, 2026.
Source: Qredence/agentic-fleet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.