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Reference guide for Agentica multi-agent infrastructure APIs
Install Agentica Infrastructure
$ npx skills add parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 agentica-infrastructure --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/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agentica-infrastructure .claude/skills/agentica-infrastructure && 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 "agentica-infrastructure" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructure into .claude/skills/agentica-infrastructure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentica-infrastructure", 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/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructureType 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 parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 agentica-infrastructure --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/agentica-infrastructure .agents/skills/agentica-infrastructure && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentica-infrastructure" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructure into .agents/skills/agentica-infrastructure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentica-infrastructure", 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 parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 agentica-infrastructure --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/agentica-infrastructure .cursor/skills/agentica-infrastructure && 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 "agentica-infrastructure" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructure into .cursor/skills/agentica-infrastructure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentica-infrastructure", 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/parcadei/Continuous-Claude-v3.git --path .claude/skills/agentica-infrastructure--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 parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 agentica-infrastructure --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/agentica-infrastructure .gemini/skills/agentica-infrastructure && 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 "agentica-infrastructure" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructure into .gemini/skills/agentica-infrastructure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentica-infrastructure", 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 parcadei/Continuous-Claude-v3 agentica-infrastructureInstalls 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 parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/agentica-infrastructure .github/skills/agentica-infrastructure && 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 "agentica-infrastructure" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructure into .github/skills/agentica-infrastructure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentica-infrastructure", 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 parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install parcadei/Continuous-Claude-v3 agentica-infrastructure --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/agentica-infrastructure .opencode/skills/agentica-infrastructure && 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 "agentica-infrastructure" agent skill from https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-infrastructure into .opencode/skills/agentica-infrastructure/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentica-infrastructure", 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
agentica-infrastructure- GitHub stars
- 3.9k
- Used in
- 1 other repo
- Token cost
- ~761 tokens
- SKILL.md length
- 179 words
- Files
- 2
- Skills in repo
- 141
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reference guide for Agentica multi-agent infrastructure APIs
- Tasks that involve Multi-agent orchestration
- SKILL.md covers When to Use, Quick Reference, Full API Spec and Usage Example, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve OpenAPI specifications
What it does
Agentica Infrastructure is an agent skill from parcadei/Continuous-Claude-v3. Reference guide for Agentica multi-agent infrastructure APIs
Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `API_SPEC.md`).
It sits in Agent Workflows, covering Multi-agent orchestration and OpenAPI specifications. The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.
When your agent uses it
- Tasks that involve Multi-agent orchestration
- Tasks that involve OpenAPI specifications
Example prompts
- “/agentica-infrastructure”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read
What it can do on your machine
Read from SKILL.md and the folder at commit d07ff4b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Read
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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
Agentica Infrastructure loads about 761 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 179 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 parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 179 words, ~761 tokens.
Download SKILL.mdSave it as
.claude/skills/agentica-infrastructure/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- agentica-infrastructure
- description
- Reference guide for Agentica multi-agent infrastructure APIs
- allowed-tools
- Read
- user-invocable
- false
Agentica Infrastructure Reference
Complete API specification for Agentica multi-agent coordination infrastructure.
When to Use
- Building multi-agent workflows with Agentica patterns
- Need exact constructor signatures for pattern classes
- Want to understand coordination database schema
- Implementing custom patterns using primitives
- Debugging agent tracking or orphan detection
Quick Reference
11 Pattern Classes
| Pattern | Purpose | Key Method |
|---|---|---|
Swarm | Parallel perspectives | .execute(query) |
Pipeline | Sequential stages | .run(initial_state) |
Hierarchical | Coordinator + specialists | .execute(task) |
Jury | Voting consensus | .decide(return_type, question) |
GeneratorCritic | Iterative refinement | .run(task) |
CircuitBreaker | Failure fallback | .execute(query) |
Adversarial | Debate + judge | .resolve(question) |
ChainOfResponsibility | Route to handler | .process(query) |
MapReduce | Fan out + reduce | .execute(query, chunks) |
Blackboard | Shared state | .solve(query) |
EventDriven | Event bus | .publish(event) |
Core Infrastructure
| Component | File | Purpose |
|---|---|---|
CoordinationDB | coordination.py | SQLite tracking |
tracked_spawn | tracked_agent.py | Agent with tracking |
HandoffAtom | handoff_atom.py | Universal handoff format |
BlackboardCache | blackboard.py | Hot tier communication |
MemoryService | memory_service.py | Core + Archival memory |
create_claude_scope | claude_scope.py | Scope with file ops |
Primitives
| Primitive | Purpose |
|---|---|
Consensus | Voting (MAJORITY, UNANIMOUS, THRESHOLD) |
Aggregator | Combine results (MERGE, CONCAT, BEST) |
HandoffState | Structured agent handoff |
build_premise | Structured premise builder |
gather_fail_fast | TaskGroup-based parallel execution |
Full API Spec
See: API_SPEC.md in this skill directory
Usage Example
from scripts.agentica_patterns.patterns import Swarm, Jury
from scripts.agentica_patterns.primitives import ConsensusMode
from scripts.agentica_patterns.coordination import CoordinationDB
from scripts.agentica_patterns.tracked_agent import tracked_spawn
# Create tracking database
db = CoordinationDB(session_id="my-session")
# Swarm with tracking
swarm = Swarm(
perspectives=["Security expert", "Performance expert"],
db=db
)
result = await swarm.execute("Review this code")
# Jury with consensus
jury = Jury(
num_jurors=3,
consensus_mode=ConsensusMode.MAJORITY,
premise="You evaluate code quality",
db=db
)
verdict = await jury.decide(bool, "Is this code production ready?")Location
API spec: .claude/skills/agentica-infrastructure/API_SPEC.md
Source: scripts/agentica_patterns/
© parcadei, MIT. 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 1 other file in .claude/skills/agentica-infrastructure of parcadei/Continuous-Claude-v3.
- SKILL.md
- API_SPEC.md
Open the folder on GitHubat commit d07ff4b
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agentica Infrastructure 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 |
|---|---|---|---|---|---|---|
| Agentica Infrastructure this skillparcadei/Continuous-Claude-v3 | 3.9k | 1 repos | ~761 | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 88k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | |
| Paseo Committeegetpaseo/paseo | 20k | 1 repos | ~496 | Automated safety check: Pass | Custom licence | |
| Mission Control Agent APIbuilderz-labs/mission-control | 6.3k | — | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Paseo Advisor Second Opinion
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
O2 Review Loop
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
Paseo Committee
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
Mission Control Agent API
builderz-labs/mission-control
Teaches an agent to use the Mission Control dashboard API: register, send heartbeats, fetch assigned tasks, report progress and disconnect, with API key auth.
Paseo Agent Handoff
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
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Related
Categories
Questions about Agentica Infrastructure
What does Agentica Infrastructure do?
Reference guide for Agentica multi-agent infrastructure APIs. Agentica Infrastructure is an agent skill from parcadei/Continuous-Claude-v3.
When should I use Agentica Infrastructure?
Agentica Infrastructure fits situations like: tasks that involve Multi-agent orchestration; tasks that involve OpenAPI specifications.
How do I install Agentica Infrastructure in Claude Code?
Run `npx skills add parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a claude-code`. Or copy the skill folder (.claude/skills/agentica-infrastructure in parcadei/Continuous-Claude-v3) into .claude/skills/agentica-infrastructure in your project. Claude Code loads it when a task matches its description.
How do I install Agentica Infrastructure in Codex?
Run `npx skills add parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a codex`. Or copy the skill folder (.claude/skills/agentica-infrastructure in parcadei/Continuous-Claude-v3) into .agents/skills/agentica-infrastructure in your project. Codex loads it when a task matches its description.
Can I use Agentica Infrastructure 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 parcadei/Continuous-Claude-v3 --skill agentica-infrastructure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentica-infrastructure, .gemini/skills/agentica-infrastructure, .github/skills/agentica-infrastructure and .opencode/skills/agentica-infrastructure in your project.
What does Agentica Infrastructure need to run?
SKILL.md names no scripts, command-line tools or credentials: Agentica Infrastructure is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read.
Does Agentica Infrastructure 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 Agentica Infrastructure 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 Agentica Infrastructure use?
Agentica Infrastructure 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 Agentica Infrastructure use?
About 761 tokens (SKILL.md is roughly 3k 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 Agentica Infrastructure?
Skills that share tags, products or a category with Agentica Infrastructure: Orca CLI (stablyai/orca, 88k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agentica Infrastructure?
parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,943 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.
Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.