Deep Research Agent Team
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
Argument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without…
$ npx skills add QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install QuintinShaw/pi-dynamic-workflows workflow-patterns --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/QuintinShaw/pi-dynamic-workflows.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workflow-patterns .claude/skills/workflow-patterns && 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 "workflow-patterns" agent skill from https://github.com/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patterns into .claude/skills/workflow-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-patterns", 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/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patternsType 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 QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install QuintinShaw/pi-dynamic-workflows workflow-patterns --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QuintinShaw/pi-dynamic-workflows.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/workflow-patterns .agents/skills/workflow-patterns && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workflow-patterns" agent skill from https://github.com/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patterns into .agents/skills/workflow-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-patterns", 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 QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install QuintinShaw/pi-dynamic-workflows workflow-patterns --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QuintinShaw/pi-dynamic-workflows.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/workflow-patterns .cursor/skills/workflow-patterns && 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 "workflow-patterns" agent skill from https://github.com/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patterns into .cursor/skills/workflow-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-patterns", 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/QuintinShaw/pi-dynamic-workflows.git --path skills/workflow-patterns--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 QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install QuintinShaw/pi-dynamic-workflows workflow-patterns --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QuintinShaw/pi-dynamic-workflows.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/workflow-patterns .gemini/skills/workflow-patterns && 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 "workflow-patterns" agent skill from https://github.com/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patterns into .gemini/skills/workflow-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-patterns", 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 QuintinShaw/pi-dynamic-workflows workflow-patternsInstalls 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 QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/QuintinShaw/pi-dynamic-workflows.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/workflow-patterns .github/skills/workflow-patterns && 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 "workflow-patterns" agent skill from https://github.com/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patterns into .github/skills/workflow-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-patterns", 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 QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install QuintinShaw/pi-dynamic-workflows workflow-patterns --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QuintinShaw/pi-dynamic-workflows.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/workflow-patterns .opencode/skills/workflow-patterns && 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 "workflow-patterns" agent skill from https://github.com/QuintinShaw/pi-dynamic-workflows/tree/main/skills/workflow-patterns into .opencode/skills/workflow-patterns/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workflow-patterns", 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.
workflow-patternsArgument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without…
Workflow Patterns is an agent skill from QuintinShaw/pi-dynamic-workflows. Argument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without slash-command syntax. Use for requests like "research X", "fact-check/adversarially review this", "review this diff/PR", "analyze from multiple perspectives", or "audit the codebase for Y". Not for authoring a new workflow script — see workflow-authoring.
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research, Hooks and plugins and Code review. It works with TypeScript. The repository describes itself as: Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI… The licence is MIT.
Read from SKILL.md and the folder at commit 3a52f19. 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.
Shell commands in SKILL.md call:
gitghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and gh, which can reach the network depending on how they are called.
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.
Workflow Patterns loads about 827 tokens when it runs. Until then it costs about 117 tokens; SKILL.md has 355 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 QuintinShaw/pi-dynamic-workflows at commit 3a52f19, republished under its MIT licence (© QuintinShaw). 355 words, ~827 tokens.
.claude/skills/workflow-patterns/SKILL.md (or your agent's skills folder).pi-dynamic-workflows ships 5 curated, tested workflow patterns. Each is also a
slash command (/deep-research, /adversarial-review, /code-review,
/multi-perspective, /codebase-audit), but they are equally reachable from
the workflow tool directly: call it with name set to the pattern name
below and args matching its shape, instead of writing an equivalent script
from scratch. Prefer this over authoring a new script whenever the request
fits one of these shapes — the curated version is already reviewed and tested.
A project or user saved workflow of the same name always takes precedence over a built-in of that name — on the slash command, too.
These 5 names are reachable only at the workflow tool's top-level name
input, not via the in-script await workflow(savedName, childArgs) helper —
that helper resolves saved workflows only. Calling workflow('deep-research')
from inside a script fails as an unknown saved workflow; use the top-level
name input instead.
name | When to reach for it | args |
|---|---|---|
deep-research | Research a question across the web with cross-checked sources | { question: string, angles?: number, minSupport?: number } — angles (default 4) is the number of distinct search queries; minSupport (default 2) is the minimum distinct sources required for a claim to survive cross-checking |
adversarial-review | Investigate a task/claim, then cross-check each finding with skeptical reviewers | { task: string, reviewers?: number, threshold?: number } |
code-review | Multi-angle review of a diff (correctness, reuse, simplification, efficiency, altitude) | { diff: string, diffSource?: string } — get diff yourself first (e.g. git diff, gh pr diff <n>); this path does not fetch it for you |
multi-perspective | Analyze a topic from several independent perspectives in parallel, then synthesize | { topic: string, perspectives?: string[] } — omit or give fewer than 2 to use the default set (technical, product, security, user experience, maintainability) |
codebase-audit | Run parallel checks against a codebase scope, then cross-validate and report | { scope: string, checks: string[] } |
{ "name": "deep-research", "args": { "question": "What are the tradeoffs of X vs Y?" } }This is a workflow tool call, not a script — omit script entirely. The run
starts in the background exactly like the slash-command form; background,
maxAgents, concurrency, agentRetries, agentTimeoutMs, and tokenBudget
all still apply.
If the request doesn't fit one of these 5 shapes, author a script with
script as usual — see the workflow-authoring skill.
© QuintinShaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/workflow-patterns of QuintinShaw/pi-dynamic-workflows.
Open the folder on GitHubat commit 3a52f19
Workflow Patterns 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 |
|---|---|---|---|---|---|---|
| Workflow Patterns this skillQuintinShaw/pi-dynamic-workflows | 554 | — | ~827 | Automated safety check: Pass | MIT | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Hunk Extension Authoring Mapmodem-dev/hunk | 9.5k | — | ~5.8k | Automated safety check: Pass | MIT | |
| Net Deep Researchh4444433333/net-deep-research | 123 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Architect ResearchDanMcInerney/architect-loop | 626 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Ray Trend Searchimraywang/rayskills | 160 | — | ~2.1k | Automated safety check: Pass | Custom licence |
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
modem-dev/hunk
Maps the hunkdiff/extension API for building Hunk terminal diff viewer extensions: panes, file views, commands, dialogs, themes, VCS backends and lifecycle events.
h4444433333/net-deep-research
Runs cross-source web research to verify whether an online claim is true, distinguishing confirmed facts from rumor, marketing claims or stale information.
DanMcInerney/architect-loop
A skill your agent uses when the user asks for discovery-scale research that informs a decision: brainstorming a project or feature, choosing a technology, or requests like "research X", "what's the…
imraywang/rayskills
Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.
jlevy/strif
Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents.
QuintinShaw/pi-dynamic-workflows
Guidance for writing, editing, reviewing, and debugging JavaScript workflow code for pi-dynamic-workflows.
Works with
Categories
Argument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without…. Workflow Patterns is an agent skill from QuintinShaw/pi-dynamic-workflows. Argument shapes for the 5 built-in workflow patterns — deep-research, adversarial-review, code-review, multi-perspective, codebase-audit — runnable via the workflow tool's name input, without slash-command syntax.
Workflow Patterns fits situations like: requests like research X; fact-check/adversarially review this; review this diff/PR; analyze from multiple perspectives.
Run `npx skills add QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a claude-code`. Or copy the skill folder (skills/workflow-patterns in QuintinShaw/pi-dynamic-workflows) into .claude/skills/workflow-patterns in your project. Claude Code loads it when a task matches its description.
Run `npx skills add QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a codex`. Or copy the skill folder (skills/workflow-patterns in QuintinShaw/pi-dynamic-workflows) into .agents/skills/workflow-patterns 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 QuintinShaw/pi-dynamic-workflows --skill workflow-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow-patterns, .gemini/skills/workflow-patterns, .github/skills/workflow-patterns and .opencode/skills/workflow-patterns in your project.
Going by SKILL.md and its folder, Workflow Patterns needs the command-line tools its instructions call (git and gh).
SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. 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.
Workflow Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 827 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Workflow Patterns: Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars), Hunk Extension Authoring Map (modem-dev/hunk, 9.5k stars), Net Deep Research (h4444433333/net-deep-research, 123 stars) and Architect Research (DanMcInerney/architect-loop, 626 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
QuintinShaw (a GitHub user) maintains it in QuintinShaw/pi-dynamic-workflows, which has 554 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 6, 2026.
Source: QuintinShaw/pi-dynamic-workflows on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.