fred: Design & UI for AI Agents | OpenAgentSkill

Overview

US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.

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fred

Response language: match user input (zh-CN / zh-TW / en).

When to use

Trigger phrases:

CPI / core CPI / PCE / PPI / inflation / 通胀 / 核心通胀
GDP / 国内生产总值
unemployment / 失业率 / U-3 / U-6 / nonfarm / 非农
Fed funds / 联储利率 / SOFR
2Y / 10Y yield / yield curve / 美债利率 / 收益率曲线
M1 / M2 / 货币供应
DXY / 美元指数 / USD index
VIX / 10Y breakeven / 通胀预期
WTI / Brent / 油价 / gold
consumer sentiment / 消费者信心 / housing starts / retail sales

Workflow

Resolve user phrasing to a FRED series ID — first via aliases.json (curated), then search.py if no alias matches.
Run series.py <SERIES_ID|alias> for observations + metadata.
Synthesise NL reply with units, frequency, and last update date; cite "Source: St. Louis Fed (FRED)".

Environment is auto-loaded on script import from .env at project root (or ~/.config/market-intel/env as fallback) — no manual source needed.

CLI examples

# Latest 60 monthly CPI observations
python3 .claude/skills/fred/scripts/series.py CPI

# 2Y Treasury yield, last 30 daily observations
python3 .claude/skills/fred/scripts/series.py "2Y yield" --limit 30

# 10-year breakeven inflation, custom window, ascending
python3 .claude/skills/fred/scripts/series.py T10YIE --start 2024-01-01 --order asc

# Discover series IDs
python3 .claude/skills/fred/scripts/search.py "consumer price index" --limit 10

# Bypass cache
python3 .claude/skills/fred/scripts/series.py CPI --fresh

Output shape

{
  "ok": true,
  "data": [{"date": "2026-04-01", "value": 314.2}, ...],
  "meta": {
    "series_id": "CPIAUCSL",
    "title": "Consumer Price Index for All Urban Consumers: All Items",
    "units": "Index 1982-1984=100",
    "frequency": "Monthly",
    "seasonal_adjustment": "SA",
    "last_updated": "2026-05-13 07:36:01-05",
    "count_returned": 60,
    "alias_resolved": "CPI"
  }
}

Available aliases

See aliases.json for the curated CN/EN → series ID map. Common ones:

Alias	Series ID
CPI	CPIAUCSL
core CPI / 核心 CPI	CPILFESL
PCE	PCEPI
GDP	GDPC1
unemployment / 失业率	UNRATE
nonfarm / 非农	PAYEMS
Fed funds / 联储利率	DFF
10Y yield / 美债 10 年	DGS10
yield curve	T10Y2Y
DXY / 美元指数	DTWEXBGS
M2	M2SL
VIX	VIXCLS
10Y breakeven / 通胀预期	T10YIE

If the user's phrase isn't in the map, fall back to search.py "<query>" and pick the highest-popularity non-discontinued result.

Error handling

Exit code	Meaning	LLM action
0	Success	Parse `data`, narrate.
2	Missing `FRED_API_KEY`	Tell user to register at https://fred.stlouisfed.org/docs/api/api_key.html and add to `.env` at project root.
3	HTTP 4xx or non-JSON	Surface error from `hint`.
4	Network	Suggest retry.

Known limitations

Daily series may have weekend/holiday gaps (FRED returns NaN as .; we normalise to null).
"Discontinued" series filtered by default in search.py — use --include-discontinued to override.
Series metadata cache TTL 24 h; observation cache TTL 1 h. Use --fresh for the latest.

longbridge-quote for live equity quotes.
gdelt for narrative / sentiment context.
sec-edgar for individual-company filings.

View source ↗

File metadata

name: fred
description: US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.

View original text

---
name: fred
description: US/global macro time series from St. Louis Fed FRED — CPI, GDP, Fed funds, yields, M2, DXY, etc.
---

# fred

> Response language: match user input (zh-CN / zh-TW / en).

## When to use

Trigger phrases:

- CPI / core CPI / PCE / PPI / inflation / 通胀 / 核心通胀
- GDP / 国内生产总值
- unemployment / 失业率 / U-3 / U-6 / nonfarm / 非农
- Fed funds / 联储利率 / SOFR
- 2Y / 10Y yield / yield curve / 美债利率 / 收益率曲线
- M1 / M2 / 货币供应
- DXY / 美元指数 / USD index
- VIX / 10Y breakeven / 通胀预期
- WTI / Brent / 油价 / gold
- consumer sentiment / 消费者信心 / housing starts / retail sales

## Workflow

1. Resolve user phrasing to a FRED series ID — first via `aliases.json` (curated), then `search.py` if no alias matches.
2. Run `series.py <SERIES_ID|alias>` for observations + metadata.
3. Synthesise NL reply with units, frequency, and last update date; cite "Source: St. Louis Fed (FRED)".

Environment is auto-loaded on script import from `.env` at project root (or `~/.config/market-intel/env` as fallback) — no manual `source` needed.

## CLI examples

```bash
# Latest 60 monthly CPI observations
python3 .claude/skills/fred/scripts/series.py CPI

# 2Y Treasury yield, last 30 daily observations
python3 .claude/skills/fred/scripts/series.py "2Y yield" --limit 30

# 10-year breakeven inflation, custom window, ascending
python3 .claude/skills/fred/scripts/series.py T10YIE --start 2024-01-01 --order asc

# Discover series IDs
python3 .claude/skills/fred/scripts/search.py "consumer price index" --limit 10

# Bypass cache
python3 .claude/skills/fred/scripts/series.py CPI --fresh
```

## Output shape

```json
{
  "ok": true,
  "data": [{"date": "2026-04-01", "value": 314.2}, ...],
  "meta": {
    "series_id": "CPIAUCSL",
    "title": "Consumer Price Index for All Urban Consumers: All Items",
    "units": "Index 1982-1984=100",
    "frequency": "Monthly",
    "seasonal_adjustment": "SA",
    "last_updated": "2026-05-13 07:36:01-05",
    "count_returned": 60,
    "alias_resolved": "CPI"
  }
}
```

## Available aliases

See `aliases.json` for the curated CN/EN → series ID map. Common ones:

| Alias                    | Series ID |
| ------------------------ | --------- |
| CPI                      | CPIAUCSL  |
| core CPI / 核心 CPI      | CPILFESL  |
| PCE                      | PCEPI     |
| GDP                      | GDPC1     |
| unemployment / 失业率    | UNRATE    |
| nonfarm / 非农           | PAYEMS    |
| Fed funds / 联储利率     | DFF       |
| 10Y yield / 美债 10 年   | DGS10     |
| yield curve              | T10Y2Y    |
| DXY / 美元指数           | DTWEXBGS  |
| M2                       | M2SL      |
| VIX                      | VIXCLS    |
| 10Y breakeven / 通胀预期 | T10YIE    |

If the user's phrase isn't in the map, fall back to `search.py "<query>"` and pick the highest-popularity non-discontinued result.

## Error handling

| Exit code | Meaning                | LLM action                                                                                                    |
| --------- | ---------------------- | ------------------------------------------------------------------------------------------------------------- |
| 0         | Success                | Parse `data`, narrate.                                                                                        |
| 2         | Missing `FRED_API_KEY` | Tell user to register at https://fred.stlouisfed.org/docs/api/api_key.html and add to `.env` at project root. |
| 3         | HTTP 4xx or non-JSON   | Surface error from `hint`.                                                                                    |
| 4         | Network                | Suggest retry.                                                                                                |

## Known limitations

- Daily series may have weekend/holiday gaps (FRED returns NaN as `.`; we normalise to `null`).
- "Discontinued" series filtered by default in `search.py` — use `--include-discontinued` to override.
- Series metadata cache TTL 24 h; observation cache TTL 1 h. Use `--fresh` for the latest.

## Related skills

- `longbridge-quote` for live equity quotes.
- `gdelt` for narrative / sentiment context.
- `sec-edgar` for individual-company filings.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md contains a typo: 'Output shap' should be 'Output shape'.

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Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: NOASSERTION
Version: 1.0.0
Last GitHub push: Sep 5, 2026
Registry updated: Sep 5, 2026
Instruction path: .claude/skills/fred/SKILL.md @ e1559493ca73

Version reported in registry metadata; check source releases before relying on it.

Quality

71/100

Strong

Trust

57/100

Do not auto-install

Audit

76/100

Needs review

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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Source: kansoku-trade/kansoku
Indexed by: OpenAgentSkill community index

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