Sync Upstream
nyaruka/phonenumbers
Sync this Go port with a new upstream google/libphonenumber release — regenerate the embedded metadata and reconcile the ported Java logic.
Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness…
Install Pipeline Devices
$ npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-devices -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-devices --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/bio-pharm/skills/agentii/pipeline-devices .claude/skills/pipeline-devices && 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 "pipeline-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices into .claude/skills/pipeline-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-devices", 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/bio-pharm/skills/agentii/pipeline-devicesType 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 pipeline-devices -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-devices --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/bio-pharm/skills/agentii/pipeline-devices .agents/skills/pipeline-devices && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pipeline-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices into .agents/skills/pipeline-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-devices", 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 pipeline-devices -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-devices --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/bio-pharm/skills/agentii/pipeline-devices .cursor/skills/pipeline-devices && 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 "pipeline-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices into .cursor/skills/pipeline-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-devices", 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/bio-pharm/skills/agentii/pipeline-devices--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 pipeline-devices -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence pipeline-devices --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/bio-pharm/skills/agentii/pipeline-devices .gemini/skills/pipeline-devices && 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 "pipeline-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices into .gemini/skills/pipeline-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-devices", 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 pipeline-devicesInstalls 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 pipeline-devices -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/bio-pharm/skills/agentii/pipeline-devices .github/skills/pipeline-devices && 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 "pipeline-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices into .github/skills/pipeline-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-devices", 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 pipeline-devices -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 pipeline-devices --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/bio-pharm/skills/agentii/pipeline-devices .opencode/skills/pipeline-devices && 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 "pipeline-devices" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices into .opencode/skills/pipeline-devices/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pipeline-devices", 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
pipeline-devices- GitHub stars
- 207
- Token cost
- ~1.6k tokens
- SKILL.md length
- 627 words
- Files
- 3 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness…
- Works in 4 steps: get_company_devices /… → search_clinical_trials /… → get_device_decision — decision history… → …
- Tasks that involve Accounting and bookkeeping
- SKILL.md covers Defaults, Preflight, Triggers and Production Grounding, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Pipeline Devices is an agent skill from agentii-ai/agentii-investment-intelligence. Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness across the med universe.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/knowledge-frameworks.md` and `references/modes.md`).
It sits in Business, Finance & HR, covering Accounting and bookkeeping. 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
- Tasks that involve Accounting and bookkeeping
Example prompts
- “/pipeline-devices”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- get_company_devices / search_universe_devices — asset inventory from the med universe.
- search_clinical_trials / get_clinical_trial — study stage, design type, status, enrollment.
- get_device_decision — decision history and upcoming decisions per device.
- Knowledge layer: search_knowledge_entries for framework grounding.
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
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
Pipeline Devices loads about 1.6k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 627 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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 627 words, ~1,625 tokens.
Download SKILL.mdSave it as
.claude/skills/pipeline-devices/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- pipeline-devices
- description
- Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness across the med universe.
- sectors
- med.medicines_biotech, med.medical_devices
- multi_ticker_semantics
- single_target
- temporal_scope.default_quarters
- 8
- temporal_scope.max_quarters
- 20
- temporal_scope.description
- Long-horizon pipeline window default 8 quarters; up to 20 for multi-year device development and post-market programs.
- retrieval_scope
- structured_only
- min_tool_diversity
- 3
- parameter_free
- false
Methodology inspired by publicly taught medtech pipeline frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| asset_scope | all disclosed devices | Full-pipeline enumeration first |
| stage_lens | feasibility + pivotal | Design-iteration stages, not drug-phase labels |
| reimbursement_aware | true | Value framed against coverage paths, not raw approval |
| post_market_scan | true | Obligations and surveillance state surfaced |
| value_frame | risk-adjusted | Modeled value = unadjusted peak x POS, both shown |
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). Confirm ticker resolution via search_companies before asset queries.
Triggers
- "Analyze [ticker]'s device pipeline."
- "What is in [ticker]'s feasibility and pivotal portfolio?"
- "Where is each of [ticker]'s devices in its design cycle?"
- "Which of [ticker]'s programs are approaching submission?"
- "What RWE studies support [ticker]'s devices?"
- "What post-market obligations does [ticker] carry?"
- "Risk-adjust [ticker]'s device pipeline."
- "What is the next catalyst for each of [ticker]'s devices?"
- "How does [ticker]'s device pipeline compare to peers?"
- "Which device classifications (PMA/De Novo/510(k)) map to [ticker]'s pipeline?"
- "Map [ticker]'s devices by clinical stage and indication."
- "What does [ticker]'s pipeline say about its reimbursement path?"
Production Grounding
- Device stage ladder: feasibility (first-in-human, small N) → pivotal (registrational) → submission (PMA / De Novo / 510(k)) → post-market. Devices iterate through design versions; design freezes and iteration cycles are the pipeline milestones, not drug-style phases.
- Pivotal design varies by classification: PMA demands the highest evidence bar, De Novo novel classification, 510(k) equivalence — the pipeline's value path depends on the expected track.
- RWE studies (registries, claims analyses) increasingly support coverage and label expansion; treat them as pipeline assets with their own timelines.
- Post-market obligations (surveillance studies, MDR reporting) shape long-term liability and the re-approval path.
- Reimbursement-aware framing: pipeline value assumes a coverage path; an asset without one is discounted.
- Grounding detail lives in
references/knowledge-frameworks.md.
Data Source Priority
get_company_devices/search_universe_devices— asset inventory from the med universe.search_clinical_trials/get_clinical_trial— study stage, design type, status, enrollment.get_device_decision— decision history and upcoming decisions per device.- Knowledge layer:
search_knowledge_entriesfor framework grounding.
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
- Pull asset inventory (
get_company_devices), cross-check the universe (search_universe_devices). - Enrich per asset with study records (
search_clinical_trials) — stage, design type, status-diff. - Pull decision history and upcoming dates (
get_device_decision). - Flag post-market obligations and RWE study presence per asset.
- Size each asset (peak x POS); ground in knowledge entries.
Show full SKILL.md (229 more words)Show less
Temporal Scope
See frontmatter temporal_scope block. Device development and post-market windows span years; history may reach back 8-12 quarters.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Asset enumeration
- Stage and design-cycle mapping
- Decision-track alignment
- Post-market and RWE overlay
- Risk-adjusted synthesis
Modes
- Phase scan (default): all devices by stage with next catalyst and expected track.
- Design cycle: design-iteration state, freezes, and submission readiness.
- Post-market: obligations, surveillance state, and RWE support.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| get_company_devices empty | search_universe_devices by company or indication; annotate coverage_gap |
| No trial rows | Mark stage undisclosed; do not guess pivotal vs feasibility |
| No decision history | Flag the submission track unknown; state both possibilities |
| Knowledge tools empty | Proceed with structured data only |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_pipeline-devices_{affix}.md
Output Structure
- Executive Summary — pipeline stance in 2-3 sentences
- Asset Table — stage, design type, expected track, next catalyst
- Design-Cycle Read — iteration state, freezes, submission readiness
- Post-Market & RWE — obligations, surveillance, registries
- Risk-Adjusted Sizing — peak x POS with reimbursement framing
- Coverage Gaps — missing records, undisclosed stage, degraded modes
Error Handling
| Error | Fallback |
|---|---|
| Stage unknown | Mark "undisclosed"; do not guess |
| Classification ambiguous | State the evidence-bar difference across tracks |
| No catalysts found | Say so explicitly; note the pipeline may be early-stage |
Memory Load
See contracts/memory-load.md.
Snapshot
See contracts/snapshot-synthesis.md.
Final Summary (TUI)
Include ### Key Citations block with 0-10 clickable /v/ URLs.
References
contracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdreferences/knowledge-frameworks.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
Files
SKILL.md and 2 other files (references) in plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices of agentii-ai/agentii-investment-intelligence.
- SKILL.md
- references/knowledge-frameworks.md
- references/modes.md
Open the folder on GitHubat commit 86980e1
Compare with similar skills
Pipeline Devices 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 |
|---|---|---|---|---|---|---|
| Pipeline Devices this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Sync Upstreamnyaruka/phonenumbers | 1.6k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Radiology Tablehuang-sir1/radiology-skills | 1.9k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| ERPClaw ERP Controlleravansaber/erpclaw | 116 | — | ~18k | Automated safety check: Pass | GPL-3.0 | |
| Odoo Agency Fleet Reviewerpipe-org/mcp-odoo | 421 | — | ~699 | Automated safety check: Pass | MIT | |
| Beancount Closebex-co/beancount-io | 297 | — | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Pipeline Devices
What does Pipeline Devices do?
Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness…. Pipeline Devices is an agent skill from agentii-ai/agentii-investment-intelligence. Device pipeline analysis: feasibility and pivotal study stages, design-iteration cycles, RWE studies, and post-market obligations, with reimbursement-aware value framing and decision-track awareness across the med universe.
When should I use Pipeline Devices?
Pipeline Devices fits situations like: tasks that involve Accounting and bookkeeping.
How do I install Pipeline Devices in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-devices -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices in agentii-ai/agentii-investment-intelligence) into .claude/skills/pipeline-devices in your project. Claude Code loads it when a task matches its description.
How do I install Pipeline Devices in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill pipeline-devices -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/pipeline-devices in agentii-ai/agentii-investment-intelligence) into .agents/skills/pipeline-devices in your project. Codex loads it when a task matches its description.
Can I use Pipeline Devices 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 pipeline-devices -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pipeline-devices, .gemini/skills/pipeline-devices, .github/skills/pipeline-devices and .opencode/skills/pipeline-devices in your project.
What does Pipeline Devices need to run?
SKILL.md names no scripts, command-line tools or credentials: Pipeline Devices is instructions for the agent only.
Does Pipeline Devices 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 Pipeline Devices 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 Pipeline Devices use?
Pipeline Devices 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 Pipeline Devices use?
About 1.6k tokens (SKILL.md is roughly 6.5k 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 1.3k tokens, read only when the agent opens those files.
What are the alternatives to Pipeline Devices?
Skills that share tags, products or a category with Pipeline Devices: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Pipeline Devices?
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.