bootstrap
Skill1 starsChanged 30 days agoMITView on GitHub
Guidance for deploying a separately installed Botte Secrete runtime into a target project: MCP configuration, directive audit, local configuration and setup report. Use when planning project onboarding. Inspect proposed configuration changes and verify host integration; this catalog does not install services or guarantee savings.
70 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- victorbeppler/claude-bootstraptheir own version, first seen Nov 8, 2026
- joi-fairshare/agentic-workflowtheir own version, first seen Nov 8, 2026
- renzrollon/interlocktheir own version, first seen Nov 5, 2026
- ArcticFox2029/chamnantheir own version, first seen Nov 5, 2026
- enocgit/sdlc-kittheir own version, first seen Nov 1, 2026
- J-T-McC/dev-teamtheir own version, first seen Nov 1, 2026
Used with
Projects with it also use surprise-me, ppt-generation and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
stophobiaSkillsurprise-me
Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
Also in 3 projects that use this
HK-hubSkillppt-generation
Use this skill when the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.
Also in 3 projects that use this
stophobiaSkillgithub-deep-research
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.
Also in 3 projects that use this
HK-hubSkillconsulting-analysis
Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This skill operates in two phases — (1) generating a structured analysis framework with chapter skeleton, data query requirements, and analysis logic, and (2) after data collection by other skills, producing the final consulting-grade report with structured narratives, embedded charts, and strategic insights.
Also in 3 projects that use this
MicrosoftSkillpodcast-generation
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
Also in 3 projects that use this
VercelSkillvercel-deploy
Deploy applications and websites to Vercel with a claimable preview. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment". No authentication required - returns preview URL and claimable deployment link.
Also in 4 projects that use this
- +1 more from HK-hub
Other versions70 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- zedarvates/botte-secrete★ 243% same
Wrote their own version · 69
- bytedance/deer-flow★ 85ksame name
- mozilla-mobile/firefox-ios★ 13ksame name
- openai/plugins★ 7.8ksame name
- modelscope/OpenJudge★ 1.1ksame name
- agentscope-ai/OpenJudge★ 1.1ksame name
- iovisor/ubpf★ 996same name
- stophobia/deerflow2.0-enhanced★ 821same name
- infragate/capa★ 718same name
- EvovexAI/EvoFlow★ 612same name
- vercel/vercel-plugin★ 328same name
59 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository114 other files it gives its agents.
- agent-cacheSkill
- agent-compressionSkill
- agent-intelSkill
- agent-overlapSkill
- agent-stateSkill
- ambient-hudSkill
- app-testSkill
- audit-dagSkill
- auto-distillSkill
- auto-memorySkill
- auto-routerSkill
- benchSkill
- botte-learnSkill
- botte-nnSkill
- botte-proxySkill
- botte-wrapSkill
- cacheSkill
- call-chainsSkill
- capabilitiesSkill
- cardinalSkill
- checkupSkill
- clarificationSkill
- clusterSkill
- code-complexitySkill
- code-duplicationSkill
- code-fingerprintSkill
- code-rulesSkill
- code-stateSkill
- code-wrappersSkill
- comfyuiSkill
- completion-proofSkill
- conductorSkill
- context-budgetSkill
- context-compressorSkill
- context-profilerSkill
- context-slicerSkill
- context-windowsSkill
- control-loopSkill
- cost-estimatorSkill
- dag-optimizerSkill
- dashboardSkill
- decision-ladderSkill
- demoSkill
- diff-languageSkill
- directives-auditSkill
- docgenSkill
- docs-stewardSkill
- dynamic-workflowsSkill
- efficiencySkill
- eventsSkill
- fallow-likeSkill
- fallowSkill
- fast-contextSkill
- fixSkill
- fleetSkill
- hailo-visionSkill
- harness-deltaSkill
- harvestSkill
- hermes-bridgeSkill
- hermes-second-brainSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 62 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 43
After setup, verify that the host actually exposes the configured tools and that suitable local backends are reachable.
“Common” is measured: kept by at least 6 in 10 of the 62 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
bootstrap — deploy the toolkit into a project
Package scope and prerequisites
This catalog ships instructions, not the executable runtime. Python modules, scripts, local services and optional tools named below must be installed separately from the upstream project. Check their availability before running commands; if they are missing, explain the prerequisite instead of claiming execution or results. The host agent may use model tokens while following these instructions.
Commands, APIs and runtime behavior described below are conditional examples for a compatible upstream installation; they are not evidence of execution in this package.
The upstream bootstrap prepares project configuration for a separately installed toolkit. Confirm runtime dependencies and host support, then inspect the resulting configuration and verify the integration before claiming it works.
Run it
python -m skills.bootstrap.cli /path/to/project
python -m skills.bootstrap.cli /path/to/project --create-agents-md # scaffold AGENTS.md if missing
python -m skills.bootstrap.cli /path/to/project --scan-subnet --jsonUpstream workflow to verify
- Discover local backends (
llm_backends) so routing has somewhere to send work. - Wire MCP — merges the
botte-llmserver into the project's.mcp.json(the intended merge preserves existing servers; inspect the result). A compatible configured host may expose:auto_route,local_chat,fusion,find_skills,audit_local_usage,route_task,discover_backends,list_models. - Audit directives (
directives_audit) — reports the CLAUDE.md/AGENTS.md health; with--create-agents-md, scaffolds a starterAGENTS.mdwhen none exists. - Write
.botte/config.json— Botte version/baseline commit plus dirty-state evidence, chosen local model, detected cloud keys, token budget, routing mode (auto). - Write
.botte/setup-report.json+ print a summary with next steps.
Result
After setup, verify that the host actually exposes the configured tools and that suitable local backends are reachable. The intended workflow uses local routing for appropriate tasks and configured cloud providers for others; availability, costs and savings require observation in that environment.
.mcp.json and .botte/ hold per-machine absolute paths, so they are gitignored
in this repo — deploy on each machine.
Related: [[llm-mcp]] (the tools wired in), [[auto-router]], [[skill-finder]], [[directives-audit]], [[llm-backends]].
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

