Search
davila7/claude-code-templates
Search Google via Bright Data SERP API. An agent skill from davila7/claude-code-templates.
Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…
$ npx skills add ThinkfleetAI/memmesh --skill context-loader -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThinkfleetAI/memmesh context-loader --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/ThinkfleetAI/memmesh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/memmesh-plugin/skills/context-loader .claude/skills/context-loader && 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 "context-loader" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loader into .claude/skills/context-loader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "context-loader", 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/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loaderType 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 ThinkfleetAI/memmesh --skill context-loader -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThinkfleetAI/memmesh context-loader --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/memmesh-plugin/skills/context-loader .agents/skills/context-loader && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "context-loader" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loader into .agents/skills/context-loader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "context-loader", 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 ThinkfleetAI/memmesh --skill context-loader -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThinkfleetAI/memmesh context-loader --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/memmesh-plugin/skills/context-loader .cursor/skills/context-loader && 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 "context-loader" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loader into .cursor/skills/context-loader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "context-loader", 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/ThinkfleetAI/memmesh.git --path integrations/memmesh-plugin/skills/context-loader--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 ThinkfleetAI/memmesh --skill context-loader -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThinkfleetAI/memmesh context-loader --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/memmesh-plugin/skills/context-loader .gemini/skills/context-loader && 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 "context-loader" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loader into .gemini/skills/context-loader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "context-loader", 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 ThinkfleetAI/memmesh context-loaderInstalls 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 ThinkfleetAI/memmesh --skill context-loader -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/memmesh-plugin/skills/context-loader .github/skills/context-loader && 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 "context-loader" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loader into .github/skills/context-loader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "context-loader", 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 ThinkfleetAI/memmesh --skill context-loader -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThinkfleetAI/memmesh context-loader --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThinkfleetAI/memmesh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/memmesh-plugin/skills/context-loader .opencode/skills/context-loader && 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 "context-loader" agent skill from https://github.com/ThinkfleetAI/memmesh/tree/main/integrations/memmesh-plugin/skills/context-loader into .opencode/skills/context-loader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "context-loader", 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.
context-loaderLoad relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…
Context Loader is an agent skill from ThinkfleetAI/memmesh. Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories) in one call. Use when beginning a task, switching context, or when project history / past decisions / a subject's profile would help.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Persistent, self-improving memory for AI agents. Local-first Rust memory engine with MCP support. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit bba48f8. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are jsonc).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context Loader loads about 530 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 197 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.
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.
The full file from ThinkfleetAI/memmesh at commit bba48f8, republished under its Apache-2.0 licence (© ThinkfleetAI). 197 words, ~530 tokens.
.claude/skills/context-loader/SKILL.md (or your agent's skills folder).⚙️ Requires MemMesh hosted mode. Calibrated prediction and behavior discovery run on the hosted engine — set your
mm-API key. On a local / open-source install these tools (memory_predict,memory_build_context) are not registered; if a call returns "unknown tool", tell the user this is a hosted capability and fall back tosearch/recallfor what's already known.
Prime the session with the right memory before you act.
{ "name": "memory_search", "arguments": { "projectId": "<repo>", "limit": 20 } }Skip only on pure pleasantries; the moment the task is substantive, load first.
When you're about to reason about one entity (a user, contact, account), don't fire five searches — get the assembled picture in one call:
{ "name": "memory_build_context",
"arguments": { "subjectKind": "user", "subjectId": "<id>", "maxTokens": 2000,
"include": ["profile","patterns","predictions","memories"] } }This returns the profile, active behavior patterns, forward predictions, and top memories — with provenance ids — ready to drop at the top of your prompt. That prediction section is the differentiator: you enter the task already knowing what the subject is likely to do next.
Once you're working with a few memories, pull what's most likely needed next via spreading activation over the graph:
{ "name": "memory_prefetch_related", "arguments": { "seedMemoryIds": ["<id1>","<id2>"], "limit": 10 } }When a loaded memory shapes your response, mention it briefly so the user can correct stale info.
© ThinkfleetAI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in integrations/memmesh-plugin/skills/context-loader of ThinkfleetAI/memmesh.
Open the folder on GitHubat commit bba48f8
Context Loader 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 |
|---|---|---|---|---|---|---|
| Context Loader this skillThinkfleetAI/memmesh | 419 | — | ~530 | Automated safety check: Pass | Apache-2.0 | |
| Searchdavila7/claude-code-templates | 32k | — | ~339 | Automated safety check: Pass | MIT | |
| Algolia Searchdavila7/claude-code-templates | 32k | 3 repos | ~492 | Automated safety check: Pass | MIT | |
| Firecrawl Search Integrationfirecrawl/firecrawl | 189k | 1 repos | ~1.1k | Automated safety check: Pass | ISC | |
| Perplexity Web Searchdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Notes | MIT | |
| X Search via xAIcode-yeongyu/oh-my-openagent | 70k | — | ~1.4k | Automated safety check: Pass | Custom licence |
davila7/claude-code-templates
Search Google via Bright Data SERP API. An agent skill from davila7/claude-code-templates.
davila7/claude-code-templates
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
firecrawl/firecrawl
Guidance for adding Firecrawl's /search endpoint to product code and agent workflows when a feature starts from a query rather than a URL.
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
code-yeongyu/oh-my-openagent
Rules for using the x_search tool to search X (Twitter) through a connected xAI account: date-bound queries, trusted handles, search operators and split searches.
mem0ai/mem0
Searches Mem0 memories from earlier Pi sessions in the repository and prints a short block of the relevant ones before work starts, read-only and silent when empty.
ThinkfleetAI/memmesh
Surface emergent behavior patterns MemMesh has mined from a subject's history — recurring habits nobody predefined, each with prevalence, stability, and the evidence behind it.
ThinkfleetAI/memmesh
Run MemMesh's competitive benchmark harness (LOCOMO / BEAM) to compare retrieval quality, tokens, latency, and cost against Mem0, Zep, full-context, and naive-RAG baselines.
ThinkfleetAI/memmesh
Query MemMesh's bi-temporal knowledge graph — multi-hop reasoning across entities, point-in-time "what did we believe on date X", and anticipatory retrieval via spreading activation.
ThinkfleetAI/memmesh
MemMesh CLI + local MCP server — the zero-infra, no-API-key path to the same engine as the hosted SDK.
ThinkfleetAI/memmesh
MemMesh TypeScript SDK reference (@thinkfleet/memory-sdk) for the hosted platform at app.memmesh.ai.
ThinkfleetAI/memmesh
Forecast what a subject will do next from their mined behavior patterns — with a calibrated, horizon-decayed confidence and provenance.
Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories)…. Context Loader is an agent skill from ThinkfleetAI/memmesh. Load relevant MemMesh context before starting work — searches memory and, for a specific subject, assembles a token-budgeted bundle (profile + behavior patterns + forward predictions + top memories) in one call.
Context Loader fits situations like: beginning a task; switching context; project history / past decisions / a subjects profile would help.
Run `npx skills add ThinkfleetAI/memmesh --skill context-loader -a claude-code`. Or copy the skill folder (integrations/memmesh-plugin/skills/context-loader in ThinkfleetAI/memmesh) into .claude/skills/context-loader in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ThinkfleetAI/memmesh --skill context-loader -a codex`. Or copy the skill folder (integrations/memmesh-plugin/skills/context-loader in ThinkfleetAI/memmesh) into .agents/skills/context-loader in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ThinkfleetAI/memmesh --skill context-loader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/context-loader, .gemini/skills/context-loader, .github/skills/context-loader and .opencode/skills/context-loader in your project.
SKILL.md names no scripts, command-line tools or credentials: Context Loader is instructions for the agent only.
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.
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.
Context Loader is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 530 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Context Loader: Search (davila7/claude-code-templates, 32k stars), Algolia Search (davila7/claude-code-templates, 32k stars), Firecrawl Search Integration (firecrawl/firecrawl, 189k stars) and Perplexity Web Search (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ThinkfleetAI (a GitHub organization) maintains it in ThinkfleetAI/memmesh, which has 419 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 25, 2026.
Source: ThinkfleetAI/memmesh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.