Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness…

Apache-2.0Auto-check passedMarketing & SEO

Install Secular Trends

skills CLI
$ npx skills add agentii-ai/agentii-investment-intelligence --skill secular-trends -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentii-ai/agentii-investment-intelligence secular-trends --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/secular-trends .claude/skills/secular-trends && rm -rf skills-src

Use ~/.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/

Facts

Skill name
secular-trends
GitHub stars
207
Token cost
~2k tokens
SKILL.md length
781 words
Files
5 (incl. references)
Skills in repo
79
Repo updated
First seen
Licence
Apache-2.0

At a glance

Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness…

  • Works in 5 steps: Executive Summary — headline conclusions… → Core analysis sections — per this… → Data classification — tag findings… → …
  • Marketing & SEO work in your project
  • SKILL.md covers Preflight, Triggers, Defaults and Methodology, plus 6 more sections
  • Reaches agentii.ai

What it does

Secular Trends is an agent skill from agentii-ai/agentii-investment-intelligence. Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness, tech competitive positioning

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/knowledge-frameworks.md`, `references/modes.md` and `references/output-structure.md`).

It sits in Marketing & SEO. 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.

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “/secular-trends”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Executive Summary — headline conclusions (≤200 words).
  2. Core analysis sections — per this skill's methodology and analyst modes.
  3. Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
  4. Coverage Gaps & Citations — coverage gaps are required; inline /v/ citations are the citation surface (immediately after each fact). A…
  5. Output frontmatter — emit the FR-090 structured block per contracts/output-frontmatter-schema.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • agentii.ai

    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

Secular Trends loads about 2k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 781 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 781 words, ~1,975 tokens.

Download SKILL.mdSave it as .claude/skills/secular-trends/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
secular-trends
description
Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness, tech competitive positioning
multi_ticker_semantics
target_with_optional_peers
essentials_modes
evaluate-company-s-exposure-to-major-secular-technology-trends, deep-dive-ai-trend-assessment-for-companies-with-identified-ai-exposure…
temporal_scope.default_quarters
4
temporal_scope.max_quarters
12
temporal_scope.description
Typical lookback: 4 quarters, max: 12
retrieval_scope
unstructured_document_search
min_tool_diversity
12
<!-- analog: idea-generation -->

Preflight

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).

Triggers

  • analyze secular tech trends
  • run secular tech trends analysis
  • produce secular tech trends report
  • secular tech trends breakdown
  • secular tech trends deep dive
  • build a secular tech trends
  • assess secular tech trends
  • quantify secular tech trends
  • compare secular tech trends across peers
  • review secular tech trends for
  • generate secular tech trends on
  • secular tech trends for investment decision

Defaults

ParameterDefaultNotes
lookback_quarters4Historical data window — matches temporal_scope.default_quarters
include_peersfalseWhether to surface a peer comparison block

Methodology

Retrieval Scope

This skill performs unstructured document search at scale (10-K, 10-Q, 8-K filings and earnings call transcripts spanning multiple fiscal periods). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale.

Retrieval Strategy

Follow the retrieval strategy decision tree in contracts/retrieval.md. This skill uses:

  • Branch (a) for structured financial metrics via search_xbrl_facts with list_xbrl_concepts pre-condition for unfamiliar concepts.
  • Branch (c) for single-period document queries via direct read_source_outline → read_source_pages.
  • Branch (d) for simple lookups via get_company_profile / search_earnings_calendar.

**Layer 1 secondary_label allowlist **: prefer ?secondary_label=other_events_8_01 to surface trend-related 8-Ks (technology disruption, regulatory shifts, demographic events) before Layer 2.

Read before you quote. A page's description is platform-generated — it is never the issuer's words and must never be quoted as the filing's. When a description identifies a relevant page, read_source_pages that page and quote its page_content. The description is a pointer, not a source: a citation written from one is the fabricated quote this skill's output standard exists to prevent (contracts/retrieval.md § Three-Layer Document Protocol).

Temporal Scope

Default: 12 fiscal quarters (max 20). Secular tech trends: 12 quarters (3 fiscal years) for long-range technology adoption cycles

Tool Allowlist

See frontmatter allowed_tools.

Protocol

This skill delivers analyst-grade output via 8 addressable mode(s); invoke with --mode=<slug> / --modes=<slug1>,<slug2> / --mode=all (see Mode syntax. The default invocation (no flag) runs the essentials_modes subset declared in this skill's frontmatter.

Analyst Modes

This skill exposes addressable analysis modes (--mode=<slug> / --modes=<s1>,<s2> / --mode=all; see Mode syntax). The full mode definitions and their output templates live in references/modes.md. The default invocation runs the essentials subset.

Tool Fallbacks

Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.

Output File

Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_secular-trends_tech-trends.md .

Show full SKILL.md (387 more words)Show less

Output Structure

The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:

  1. Executive Summary — headline conclusions (≤200 words).
  2. Core analysis sections — per this skill's methodology and analyst modes.
  3. Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
  4. Coverage Gaps & Citations — coverage gaps are required; inline /v/ citations are the citation surface (immediately after each fact). A bottom roll-up index is optional, and where kept it must not repeat a link the prose already carries.
  5. Output frontmatter — emit the FR-090 structured block per contracts/output-frontmatter-schema.md.

Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; citations belong inline, a bottom roll-up index is optional and never a repeat of a link already given; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.

Memory & Snapshot

  • Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see contracts/memory-load.md.
  • Structured output frontmatter: emit the FR-090 block (key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.
  • Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as [FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.
  • Session archival: record the run under sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.

Final Summary (TUI)

End the closing chat reply with the summary shape in contracts/citation-and-memory.md — Citation Placement Policy item 3: title · key conclusions · key metrics · Executive Summary · Key Citations (the headline 5–10 facts, each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link), so the user can cmd+click straight to the exact SEC page without opening the file.

Error Handling

Failure ModeDetectionActionUser-Facing Message
Missing dataData API returns empty result setWiden date range and retry once"No data available for {ticker} in requested window."
Partial dataData API returns <80% expected recordsProceed with coverage gaps section"Analysis based on partial data; see Coverage Gaps section."
Sector mismatchPeer sector != target sectorFilter out mismatched peers"Removed {n} peer(s) due to sector mismatch."
Insufficient historyTicker <3 years on public marketsDowngrade to limited-history profile"Limited historical data; analysis adjusted accordingly."
MCP unreachablePreflight probe failsHalt with actionable error"agentii data plane unreachable; check connection."

© 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

Files

SKILL.md and 4 other files (references) in plugins/agent-plugins/agentii-equity-agent/skills/agentii/secular-trends of agentii-ai/agentii-investment-intelligence.

  • SKILL.md
  • references/knowledge-frameworks.md
  • references/modes.md
  • references/output-structure.md
  • references/tool-fallbacks.md

Open the folder on GitHubat commit 86980e1

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Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Secular Trends

What does Secular Trends do?

Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness…. Secular Trends is an agent skill from agentii-ai/agentii-investment-intelligence.

When should I use Secular Trends?

Secular Trends fits situations like: marketing & SEO work in your project.

How do I install Secular Trends in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill secular-trends -a claude-code`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/secular-trends in agentii-ai/agentii-investment-intelligence) into .claude/skills/secular-trends in your project. Claude Code loads it when a task matches its description.

How do I install Secular Trends in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill secular-trends -a codex`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/secular-trends in agentii-ai/agentii-investment-intelligence) into .agents/skills/secular-trends in your project. Codex loads it when a task matches its description.

Can I use Secular Trends 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 agentii-ai/agentii-investment-intelligence --skill secular-trends -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/secular-trends, .gemini/skills/secular-trends, .github/skills/secular-trends and .opencode/skills/secular-trends in your project.

What does Secular Trends need to run?

SKILL.md names no scripts, command-line tools or credentials: Secular Trends is instructions for the agent only.

Does Secular Trends access the network?

SKILL.md names 1 domain. In commands or code: agentii.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Secular Trends 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 Secular Trends use?

Secular Trends 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.

How many tokens does Secular Trends use?

About 2k tokens (SKILL.md is roughly 7.9k 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 3k tokens, read only when the agent opens those files.

What are the alternatives to Secular Trends?

Skills that share tags, products or a category with Secular Trends: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Secular Trends?

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.