Use when the user types /hep-cloud or asks to staff from THEIR OWN Agentlas cloud packages only. Cloud is one exact source scope; Network means Local + owner Cloud + public Hub.
npx skills add https://github.com/agentlas-ai/Agentlas-OS --skill hephaestus-cloud
Route the request through the signed-in user's OWN Agentlas cloud packages only.
The active host LLM remains the staffing decision-maker; Cloud supplies a
content menu and exact BYOM releases.
/hep-cloud is owner-scoped: it queries ONLY the authenticated owner's
own cloud packages (보관함) through Core's typed sourceScope: "cloud". It does not
search the public marketplace and does not search local private/plugin
cards.
flat 1 credit per call.
/hep-hub (sourceScope: "hub")./hep-network(sourceScope: "network").
Run this resolution in a shell and use the first hit:
RUNNER=""
for c in \
"$HOME/.agentlas/runtime/current/bin/hephaestus" \
./bin/hephaestus
do [ -x "$c" ] && RUNNER="$c" && break; done
if [ -z "$RUNNER" ]; then
for cache in \
"$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
"$HOME/.codex/plugins/cache/agentlas-core-engine/hephaestus"; do
newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
[ -n "$newest" ] && [ -x "$newest" ] && RUNNER="$newest" && break
done
fi
If no runner exists, tell the user to run the one-touch installer:
curl -fsSL https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh | bash
If shell execution is unavailable but the local hephaestus-network MCP is
available, use the typed Workforce sequence in section 3. If that server cannot
advertise owner-Cloud search plus exact bundle fetch, report
source_not_supported; never fall back to the legacy cargo search path.
The cloud ... --project . call below is a trusted plugin contact. Agentlas
Core must synchronously create or repair the same private project soul memory,
code map, ontology runtime, CareerGraph, and full .agentlas/ ignore block used
by every other host. If bootstrap is blocked, stop rather than querying Cloud
without the project architecture. The adapter never owns a second seed format.
The owner cloud is sign-in-gated. Before routing, ensure Agentlas is signed in:
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
"$RUNNER" auth ensure --timeout 180 >/dev/null 2>&1 || true
fi
This opens the user's default browser only when there is no valid local sign-in
yet, and reuses a saved sign-in silently. For CI/headless checks only, set
HEPHAESTUS_AUTH_AUTOPOPUP=0 and skip this step.
In an MCP-capable host, author the complete redacted WorkOrder, then call the
actual local Core tools in this order:
workforce.search_candidates(sourceScope="cloud")
workforce.validate_selection(workOrder=..., candidateSet=federationResult.candidateSet, selection=..., federationResult=...)
workforce.prepare_execution(workOrder=..., candidateSet=federationResult.candidateSet, selection=..., federationResult=..., federatedSelection=...)
The host LLM authors the final Selection. If the deployed owner-Cloud Workforce
source contract is absent, report source_not_supported; do not silently query
public Hub or legacy cargo search. A shell without an active host LLM can only
report that orchestration is required.
scope: "cloud")Preserve the Cloud source receipt, source selection session, candidate-set
digest, release id, package hash, and content digest. Validate and prepare in
local Core; never send the federated wrapper back to remote validation.
they were the user's own cloud packages.
the roster. The active host LLM chooses from content evidence.
model. Report the routing receipt_id in your final message.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take agentlas-ai/hephaestus-cloud from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.