Lead Magnets
sickn33/agentic-awesome-skills
Plan and optimize lead magnets for email capture and lead generation.
Leading economic indicators analysis, ISM PMI, yield curve, consumer sentiment UMCSI, jobless claims, building permits, economic turning point detection, recession signal analysis
$ npx skills add agentii-ai/agentii-investment-intelligence --skill leading-indicators -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence leading-indicators --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators .claude/skills/leading-indicators && 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 "leading-indicators" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators into .claude/skills/leading-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "leading-indicators", 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/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicatorsType 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 agentii-ai/agentii-investment-intelligence --skill leading-indicators -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence leading-indicators --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators .agents/skills/leading-indicators && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "leading-indicators" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators into .agents/skills/leading-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "leading-indicators", 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 agentii-ai/agentii-investment-intelligence --skill leading-indicators -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence leading-indicators --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators .cursor/skills/leading-indicators && 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 "leading-indicators" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators into .cursor/skills/leading-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "leading-indicators", 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/agentii-ai/agentii-investment-intelligence.git --path plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators--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 agentii-ai/agentii-investment-intelligence --skill leading-indicators -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence leading-indicators --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators .gemini/skills/leading-indicators && 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 "leading-indicators" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators into .gemini/skills/leading-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "leading-indicators", 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 agentii-ai/agentii-investment-intelligence leading-indicatorsInstalls 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 agentii-ai/agentii-investment-intelligence --skill leading-indicators -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators .github/skills/leading-indicators && 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 "leading-indicators" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators into .github/skills/leading-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "leading-indicators", 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 agentii-ai/agentii-investment-intelligence --skill leading-indicators -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence leading-indicators --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators .opencode/skills/leading-indicators && 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 "leading-indicators" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators into .opencode/skills/leading-indicators/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "leading-indicators", 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.
leading-indicatorsLeading economic indicators analysis, ISM PMI, yield curve, consumer sentiment UMCSI, jobless claims, building permits, economic turning point detection, recession signal analysis
Leading Indicators is an agent skill from agentii-ai/agentii-investment-intelligence. Leading economic indicators analysis, ISM PMI, yield curve, consumer sentiment UMCSI, jobless claims, building permits, economic turning point detection, recession signal analysis
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/credit-analysis-methodology.md`, `references/leading-indicators-framework.md` and `references/modes.md`).
The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Leading Indicators loads about 2.1k tokens when it runs, and up to ~7.8k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 896 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.
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.
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 896 words, ~2,096 tokens.
.claude/skills/leading-indicators/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Methodology inspired by publicly taught trading frameworks; all text is an original paraphrase.
| Parameter | Default Value | Rationale |
|---|---|---|
| lookback_quarters | 4 | Standard window for leading-indicators |
| gdp_forecast_lag | 6 months | S&P 500 leads GDP with maximum statistical significance at the 6-month horizon (10-year rolling correlation avg: 0.56, 1960–2020) |
| indicator_frequency | weekly | Money-market and survey indicators are tracked weekly; GDP is quarterly |
| portfolio_bias | long / neutral / short | Macro view resolves to one of three biases governing portfolio construction |
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
references/leading-indicators-framework.md (bundled methodology)search_knowledge_entries for supplementary L1 frameworkssearch_by_analogue(market_regime, event_type)structured_only
This skill follows Branch (d) Simple Lookup from contracts/retrieval.md: query knowledge entries for L1 macro and leading-indicator frameworks; query search_by_analogue for historical regime analogues resolved from the indicator panel. No unstructured document retrieval.
See frontmatter temporal_scope block.
See frontmatter allowed_tools.
The Pro-Trader Systematic macroeconomic framework: predict GDP → predict stock-market returns. S&P 500 leads GDP by 6 months (10-year rolling correlation avg 0.56). Two analytical axes: Growth drives earnings (E); Liquidity drives price (P). Detailed indicator methodology, thresholds, and decision rules are in references/leading-indicators-framework.md.
GDP Baseline: Quadrinomial method (S&P 500 quarterly returns 6-month lagged vs real GDP). Four outcomes: 0-0 (both down, 8.2%), 1-1 (both up, 60.9%), 0-1 (profit-taking, 25.6%), 1-0 (unpredictable, 5.3%). 10-year rolling correlation check. Apply to EuroStoxx 600 vs Eurozone GDP. Skip China Shenzhen (unreliable correlation ~0.05).
Money Market Indicators (earliest and most reliable):
Survey Indicators:
Commodity Prices: Copper (pervasive industrial demand proxy — compare LME vs Shanghai). Brent crude (rising with copper = demand-driven, bullish; rising without copper = supply shock, bearish).
Market & Forex: S&P 500 as ultimate daily leading indicator. DXY strengthening = tightening global conditions; weakening = loosening. Cross-reference DXY direction against credit spread direction.
Coincident & Lagging Cross-Check: CPI, PPI, NFP (coincident); GDP, earnings, unemployment (lagging). Never trade on lagging indicators alone.
International: European ESI, China PMI (Official vs Caixin — Caixin often leads), Japan Tankan + JGB, UK Gilts + PMI, Germany Bund + Ifo, Italy BTP-Bund spread. Apply local CPI for real rates.
Dashboard & Bias Resolution: Score 11 indicator categories (high-weight: real rates, yield curve, credit spreads, ISM PMI, S&P 500). ≥ 60% expansionary → net long. ≥ 60% contractionary → net short. Mixed → neutral.
Analogue Retrieval: Query search_by_analogue with market_regime and event_type matching current configuration. Cite via /v/.
Regime Classification: Expansion / Contraction / Stagflation / Recovery with Bear/Base/Bull probability weights and transition catalysts.
{ticker}/{YYYY-MM-DD_HHMM}_leading-indicators_{affix}.md
search_by_analogue with /v/ citations| Error | Fallback |
|---|---|
| No L1 frameworks found | Proceed with the standard 10-indicator panel described in Protocol; flag degraded |
search_by_analogue empty | Note "no relevant historical analogues found" — do not fabricate |
| Real-time data unavailable | Use last-known values with staleness flag; indicate date of last observation |
| Credit spread data missing for one tier | Use available tiers (AA/BBB) and note the gap; CCC data is most volatile and optional |
| Yield curve data flat / 2Y missing | Use 3m10y or Fed funds vs 10Y as alternative curve; note substitution |
| International indicator missing | Proceed with US-only dashboard; flag international gap |
See contracts/memory-load.md.
See contracts/snapshot-synthesis.md.
Include ### Key Citations block with 0-10 clickable /v/ URLs.
references/leading-indicators-framework.mdcontracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdcontracts/retrieval.md© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators of agentii-ai/agentii-investment-intelligence.
Open the folder on GitHubat commit 86980e1
Leading Indicators 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 |
|---|---|---|---|---|---|---|
| Leading Indicators this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Lead Magnetssickn33/agentic-awesome-skills | 47k | 2 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Lead Magnetscoreyhaines31/marketingskills | 54k | 5 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Apify Lead Generationsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.2k | Automated safety check: Notes | MIT | |
| Yield Intelligencesickn33/agentic-awesome-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Lead Generation Research GuideRightNow-AI/openfang | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
sickn33/agentic-awesome-skills
Plan and optimize lead magnets for email capture and lead generation.
coreyhaines31/marketingskills
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agentii-ai/agentii-investment-intelligence
Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion…
agentii-ai/agentii-investment-intelligence
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agentii-ai/agentii-investment-intelligence
The research-domain clarification skill — find underspecified items in a thesis spec.md (prose wrongif, universe rows without rationale, missing budget/expiry/pins, ambiguous pillars), ask the human…
agentii-ai/agentii-investment-intelligence
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agentii-ai/agentii-investment-intelligence
Append-only gap closure and the cadence engine for research theses.
agentii-ai/agentii-investment-intelligence
Execute research tasks — checklist soft gate, phase dispatch with explicit thesisdir, budget enforcement (halt + approval card on overrun), skillpin recording (versionhash content-hashed per skill…
Leading economic indicators analysis, ISM PMI, yield curve, consumer sentiment UMCSI, jobless claims, building permits, economic turning point detection, recession signal analysis. Leading Indicators is an agent skill from agentii-ai/agentii-investment-intelligence.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill leading-indicators -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators in agentii-ai/agentii-investment-intelligence) into .claude/skills/leading-indicators in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill leading-indicators -a codex`. Or copy the skill folder (plugins/vertical-plugins/macro-strategy/skills/agentii/leading-indicators in agentii-ai/agentii-investment-intelligence) into .agents/skills/leading-indicators in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill leading-indicators -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/leading-indicators, .gemini/skills/leading-indicators, .github/skills/leading-indicators and .opencode/skills/leading-indicators in your project.
SKILL.md names no scripts, command-line tools or credentials: Leading Indicators is instructions for the agent only.
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.
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.
Leading Indicators is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Leading Indicators: Lead Magnets (sickn33/agentic-awesome-skills, 47k stars), Lead Magnets (coreyhaines31/marketingskills, 54k stars), Apify Lead Generation (sickn33/agentic-awesome-skills, 47k stars) and Yield Intelligence (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.
Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.