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Documentation Index

Fetch the complete documentation index at: https://docs.simmer.markets/llms.txt

Use this file to discover all available pages before exploring further.

Skills auto-appear in the Simmer registry within 6 hours of publishing to ClawHub. Install the Skill Builder and describe your strategy in plain language:
clawhub install simmer-skill-builder
Then tell your agent: “Build me a skill that trades X when Y happens.” The Skill Builder generates a complete, ready-to-publish skill folder.

Option 2: Build manually

A skill is a folder with three files:
your-skill-slug/
  SKILL.md          # AgentSkills-compliant metadata + docs
  clawhub.json      # ClawHub + automaton config
  your_script.py    # Main trading logic

SKILL.md frontmatter

---
name: your-skill-slug
description: One sentence describing what it does and when to use it.
metadata:
  author: "Your Name"
  version: "1.0.0"
  displayName: "Your Skill Name"
  difficulty: "intermediate"
---
Rules:
  • name must be lowercase, hyphens only, match folder name
  • description is required, max 1024 chars
  • metadata values must be flat strings (AgentSkills spec)
  • No platform-specific config in SKILL.md — that goes in clawhub.json

clawhub.json

{
  "emoji": "your-emoji",
  "primaryEnv": "SIMMER_API_KEY",
  "requires": {
    "pip": ["simmer-sdk"],
    "env": ["SIMMER_API_KEY"]
  },
  "envVars": [
    {
      "name": "SIMMER_API_KEY",
      "required": true,
      "description": "Your Simmer SDK API key — get from simmer.markets/dashboard"
    },
    {
      "name": "WALLET_PRIVATE_KEY",
      "required": false,
      "description": "Only needed for external-wallet self-custody trading."
    }
  ],
  "cron": "*/15 * * * *",
  "automaton": {
    "managed": true,
    "entrypoint": "your_script.py"
  }
}
simmer-sdk in requires.pip is required. This is what causes the skill to appear in the Simmer registry automatically.
Declare credentials in all three fields, not just requires.env. ClawHub’s moderation scanner reads all of them together; getting this right prevents false-positive “Suspicious” verdicts that block non-interactive installs:
FieldMeaningUse for
requires.envStrictly required — skill fails without theseOnly the minimum credentials needed for the default code path
primaryEnvNames the single main credentialThe one key every user will have (usually SIMMER_API_KEY)
envVars[]Per-variable declaration with required boolean + human descriptionFull list including optional credentials; explains when each is needed
Common anti-patterns that trigger scanner flags:
  • Listing WALLET_PRIVATE_KEY in requires.env when your SKILL.md documents managed wallets as an alternative → “disproportionate requirement” verdict
  • Mentioning WALLET_PRIVATE_KEY in SKILL.md body but not declaring it anywhere → “hidden credential” verdict
  • Declaring unrelated credentials (e.g. OPENAI_API_KEY for a skill that only hits Simmer) → “scope creep” verdict
The fix: put strictly-required vars in requires.env, keep the full list (including optional ones marked required: false) in envVars with plain-language descriptions of when each is needed.Common env vars for Simmer skills:
Env varTypical status
SIMMER_API_KEYAlways required — main credential (also set as primaryEnv)
WALLET_PRIVATE_KEYUsually required: false — only needed when not using managed wallets
EVM_PRIVATE_KEYRequired if your skill signs EVM transactions (e.g. x402 payments)
SOLANA_PRIVATE_KEYRequired if your skill signs Kalshi/Solana transactions
POLYGON_RPC_URLrequired: false — only if the user wants a custom RPC endpoint
If you don’t touch an env var, don’t declare it. If your SKILL.md mentions one, declare it in envVars with the right required flag.

Python script patterns

import os
from simmer_sdk import SimmerClient

_client = None
def get_client():
    global _client
    if _client is None:
        _client = SimmerClient(
            api_key=os.environ["SIMMER_API_KEY"],
            venue="polymarket"
        )
    return _client

TRADE_SOURCE = "sdk:your-skill-slug"
SKILL_SLUG = "your-skill-slug"  # Must match ClawHub slug

# Always include reasoning
client = get_client()
client.trade(
    market_id=market_id,
    side="yes",
    amount=10.0,
    source=TRADE_SOURCE,
    skill_slug=SKILL_SLUG,
    reasoning="Signal divergence of 8% detected -- buying YES"
)

Hard rules

  1. Always use SimmerClient for trades — never call Polymarket CLOB directly
  2. Always default to dry-run — pass --live explicitly for real trades
  3. Always tag trades with source and skill_slug
  4. Always include reasoning — it’s shown publicly
  5. Read API keys from env — never hardcode credentials
  6. skill_slug must match your ClawHub slug — this tracks per-skill volume
  7. Frame as a remixable template — your SKILL.md should explain what the default signal is and how to remix it (see below)
  8. Pass venue= explicitly when reading state/trades, /portfolio, and /context support a venue filter. Rely on the default (all) only if you truly want cross-venue state. If your skill only trades on one venue, pass that venue on reads so you don’t confuse yourself with unrelated positions.

Remixable template pattern

Skills are templates, not black boxes. Your SKILL.md should include a callout like:
> **This is a template.** The default signal is [your signal source] —
> remix it with [alternative signals, different models, etc.].
> The skill handles all the plumbing (market discovery, trade execution,
> safeguards). Your agent provides the alpha.
The skill handles plumbing: market discovery, order execution, position management, and safeguards. The user’s agent swaps in their own signal — a different API, a custom model, additional data sources. Make it clear what’s swappable and what’s structural. The /context endpoint provides trading discipline data — flip-flop detection, slippage estimates, and edge analysis. We strongly recommend checking it before executing trades:
def get_market_context(market_id, my_probability=None):
    """Fetch context with safeguards and optional edge analysis."""
    params = {}
    if my_probability is not None:
        params["my_probability"] = my_probability
    return get_client().get_market_context(market_id, **params)

# Before buying
context = get_market_context(market_id, my_probability=0.85)

# Check warnings
trading = context.get("trading", {})
flip_flop = trading.get("flip_flop_warning")
if flip_flop and "SEVERE" in flip_flop:
    print(f"Skipping: {flip_flop}")
    # Don't trade -- you've been reversing too much

slippage = context.get("slippage", {})
if slippage.get("slippage_pct", 0) > 0.15:
    print("Skipping: slippage too high")
    # Market is too illiquid for this size

# Check edge (requires my_probability)
edge = context.get("edge_analysis", {})
if edge.get("recommendation") == "HOLD":
    print("Skipping: edge below threshold")
This isn’t a hard rule — some high-frequency skills skip context checks for speed. But for most strategies, checking context prevents costly mistakes like flip-flopping or trading into illiquid books.

Discover-then-trade for arbitrary markets

If your skill discovers markets off-Simmer (e.g. via the Polymarket Gamma API by event slug, or by walking external trader portfolios), you can’t trade them via SimmerClient.trade() until they’re in Simmer’s index — every trade endpoint, including paper modes, fetches the price from /api/sdk/context/{market_id} and 404s for unindexed markets. The canonical pattern is: check (free) → import on miss → trade. Cache the result so subsequent scans skip both calls.
def ensure_market_indexed(polymarket_url, cache):
    """Return (simmer_market_id, error). Hits cache, then check (free), then
    import (consumes quota)."""
    if polymarket_url in cache:
        return cache[polymarket_url], None

    # Free pre-flight — does NOT consume import quota
    check = client.check_market_exists(url=polymarket_url)
    if check["exists"]:
        cache[polymarket_url] = check["market_id"]
        return check["market_id"], None

    # Not indexed — consume one import from the daily quota
    result = client.import_market(polymarket_url)
    if result.get("status") in ("imported", "already_exists"):
        cache[polymarket_url] = result["market_id"]
        return result["market_id"], None
    return None, f"import status={result.get('status')}"
Why this matters:
  • check_market_exists is free and doesn’t consume the import quota
  • import_market is rate-limited (10/100/250 per day by tier; on 429 the response includes an x402_url for $0.005/import overflow via USDC on Base)
  • Most popular markets are already in Simmer’s index — the check often returns existing IDs at no cost
  • Persisting the cache across scans means steady-state cost approaches zero
For Kalshi-discovered markets, swap check_market_exists(url=...) for check_market_exists(ticker=...) and import_market for import_kalshi_market.

Reading state across venues

A Simmer agent can hold positions across three venues at once: sim (paper trading with $SIM), polymarket (real USDC on Polygon), and kalshi (real USDC on Solana). They’re independent — a single agent can hold a $SIM paper position AND a real Polymarket position on the same market simultaneously. The read endpoints are venue-aware. Always pass venue= explicitly when you know which one your skill cares about:
# I only paper-trade on sim
trades = client.get_trades(venue="sim")

# I'm a real-money Polymarket skill
positions = client.get_portfolio(venue="polymarket")

# I want everything (default)
all_state = client.get_briefing()
The default is venue="all", which returns merged state across every venue. That’s what you want for a dashboard-style heartbeat check-in. It’s also what a single-venue skill should avoid on reads — you don’t want your polymarket copytrading skill to see a leftover paper position from a week ago and think it’s real exposure.
Relying on the legacy flat fields on /portfolio and /context will silently miss cross-venue state:
  • portfolio.positions_count counts only Polymarket positions
  • context.position mirrors one venue only (picks the first non-null)
Use the per-venue buckets/containers instead:
  • portfolio.sim, portfolio.polymarket, portfolio.kalshi, portfolio.total
  • context.positions.sim, context.positions.polymarket, context.positions.kalshi
/api/sdk/briefing is the canonical cross-venue snapshot. Every agent heartbeat loop should use it:
briefing = client.get_briefing()
# briefing.venues.sim        → {balance, pnl, positions_count, positions_needing_attention}
# briefing.venues.polymarket → {balance, pnl, positions_count, redeemable_count, ...}
# briefing.venues.kalshi     → {balance, pnl, positions_count, ...}
/api/sdk/trades returns merged trade history by default, with each row tagged:
for trade in client.get_trades(limit=20)["trades"]:
    print(f"{trade['venue']}: {trade['side']} {trade['shares']} @ {trade['avg_price']}")
/api/sdk/portfolio and /api/sdk/context/{market_id} have per-venue buckets alongside the legacy flat fields. Read from the buckets:
portfolio = client.get_portfolio()  # default venue=all
print(f"Sim exposure: {portfolio['sim']['total_exposure']} $SIM")
print(f"Polymarket exposure: ${portfolio['polymarket']['total_exposure']}")
print(f"Total position count: {portfolio['total']['positions_count']}")

ctx = client.get_market_context(market_id)
sim_pos = ctx["positions"]["sim"]
if sim_pos and sim_pos["has_position"]:
    print(f"Holding {sim_pos['shares']} $SIM shares")
All legacy flat fields (portfolio.sim_balance, context.position, etc.) remain populated for backwards compatibility, but new skills should prefer the bucketed fields. Call auto_redeem() once per cycle to collect payouts from resolved markets. This handles both wallet types — managed wallets redeem server-side, external wallets sign and broadcast locally.
# At the start or end of each cycle -- safe to call frequently
results = get_client().auto_redeem()
for r in results:
    if r["success"]:
        print(f"Redeemed {r['market_id']}: tx={r['tx_hash']}")
Without this, winning positions sit unredeemed until the user manually collects them from the dashboard. For external wallets (self-custody), this is the only automated redemption path — the server can’t sign on your behalf.
auto_redeem() checks the agent’s auto_redeem_enabled setting and returns an empty list if disabled. It catches all errors internally and never raises — safe to call unconditionally.
The SDK ships helper modules that handle common skill-builder tasks. Prefer these over rolling your own — they encode patterns from top traders, are tested, and are maintained alongside the SDK. Full reference: Position Sizing.

Position sizing — simmer_sdk.sizing

Don’t hard-code stake amounts and don’t write your own Kelly. Use size_position(). It returns 0.0 when the edge is below your min_ev threshold, so the skill can simply skip the trade.
from simmer_sdk.sizing import size_position

amount = size_position(
    p_win=0.70,         # your model's probability
    market_price=0.55,  # current YES price
    bankroll=bankroll,
    min_ev=0.03,        # skip trades with edge < 3%
)
if amount > 0:
    client.trade(market_id=..., side="BUY", outcome="YES",
                 amount=amount, reasoning="...")
Expose sizing as user-tunable config by merging SIZING_CONFIG_SCHEMA into your skill’s CONFIG_SCHEMA — users get SIMMER_POSITION_SIZING, SIMMER_KELLY_MULTIPLIER, and SIMMER_MIN_EV env vars for free.

External market data

The SDK doesn’t bundle third-party API clients. If your skill needs Polymarket metadata beyond what SimmerClient.get_markets() exposes — categories, descriptions, full event groupings, raw volume and liquidity — call Polymarket’s Gamma API directly from the skill. It’s free, no auth, well-documented. Keep the helper next to the skill so the SDK stays scoped to Simmer’s surface area plus universal primitives.

Publishing

# From inside your skill folder
npx clawhub@latest publish . --slug your-skill-slug --version 1.0.0

# Or auto-bump version
npx clawhub@latest publish . --slug your-skill-slug --bump patch
Within 6 hours, the Simmer sync job will:
  1. Discover your skill via ClawHub search
  2. Verify it has simmer-sdk as a dependency
  3. Add it to the registry at simmer.markets/skills
No approval process. No submission form.
Always pass --slug explicitly. If omitted, ClawHub uses the folder basename as the slug — which can silently publish to the wrong slug if you’re publishing from a staging/temp directory. Make the slug explicit every time.

After publishing, verify the install path

Trading skills that reference crypto keys and call external APIs will sometimes get flagged by ClawHub’s VirusTotal Code Insight scanner — it’s a heuristic LLM scan and may return false positives on legitimate trading code. Verify installs work:
npx clawhub@latest install your-skill-slug
If you see:
⚠️ Warning: “your-skill-slug” is flagged as suspicious by VirusTotal Code Insight. Error: Use —force to install suspicious skills in non-interactive mode
Two fixes:
  1. Manifest mismatch (most common): make sure every env var and every capability your SKILL.md teaches is declared in clawhub.json requires.env. Republish as a new patch version. OpenClaw re-scans and clears its verdict.
  2. VT Code Insight false positive: if OpenClaw is clean but VirusTotal still flags behavioral patterns (crypto keys + external HTTP + credential handling), email simmer@agentmail.to and we’ll request a manual override from ClawHub. Include your skill slug and the scan report link from https://clawhub.ai/skills/<your-slug>.

Naming conventions

TypeSlug patternExample
Polymarket-specificpolymarket-<strategy>polymarket-weather-trader
Kalshi-specifickalshi-<strategy>kalshi-election-sniper
Platform-agnostic<strategy>prediction-trade-journal
Simmer utilitysimmer-<tool>simmer-skill-builder

Updating skills

npx clawhub@latest publish . --slug your-skill-slug --bump patch
The registry syncs every 6 hours and updates install_count and version info automatically.

MCP Server

For agents that use MCP, see Agent Support for the simmer-mcp server setup.