Apply Kingdon's multiple streams framework to analyze how problems, policies, and politics converge to open policy windows.
$ npx skills add asgard-ai-platform/skills --skill grad-policy-streams -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills grad-policy-streams --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/grad-policy-streams .claude/skills/grad-policy-streams && 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 "grad-policy-streams" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-policy-streams into .claude/skills/grad-policy-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-policy-streams", 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/asgard-ai-platform/skills/tree/main/grad-policy-streamsType 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 asgard-ai-platform/skills --skill grad-policy-streams -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills grad-policy-streams --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/grad-policy-streams .agents/skills/grad-policy-streams && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "grad-policy-streams" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-policy-streams into .agents/skills/grad-policy-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-policy-streams", 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 asgard-ai-platform/skills --skill grad-policy-streams -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills grad-policy-streams --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/grad-policy-streams .cursor/skills/grad-policy-streams && 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 "grad-policy-streams" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-policy-streams into .cursor/skills/grad-policy-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-policy-streams", 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/asgard-ai-platform/skills.git --path grad-policy-streams--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 asgard-ai-platform/skills --skill grad-policy-streams -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills grad-policy-streams --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/grad-policy-streams .gemini/skills/grad-policy-streams && 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 "grad-policy-streams" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-policy-streams into .gemini/skills/grad-policy-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-policy-streams", 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 asgard-ai-platform/skills grad-policy-streamsInstalls 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 asgard-ai-platform/skills --skill grad-policy-streams -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/grad-policy-streams .github/skills/grad-policy-streams && 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 "grad-policy-streams" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-policy-streams into .github/skills/grad-policy-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-policy-streams", 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 asgard-ai-platform/skills --skill grad-policy-streams -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills grad-policy-streams --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/grad-policy-streams .opencode/skills/grad-policy-streams && 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 "grad-policy-streams" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/grad-policy-streams into .opencode/skills/grad-policy-streams/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grad-policy-streams", 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.
grad-policy-streamsApply Kingdon's multiple streams framework to analyze how problems, policies, and politics converge to open policy windows.
Grad Policy Streams is an agent skill from asgard-ai-platform/skills. Apply Kingdon's multiple streams framework to analyze how problems, policies, and politics converge to open policy windows. Use this skill when the user needs to explain why certain policies get adopted while others don't, identify policy windows and entrepreneurial opportunities, or analyze the agenda-setting process in public policy — even if they say 'why did this policy pass now', 'policy window', or 'how do issues get on the agenda'.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/comparative-msf.md` and `references/policy-entrepreneurs.md`).
The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are markdown).
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.
Grad Policy Streams loads about 1.3k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 116 tokens; SKILL.md has 372 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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 372 words, ~1,315 tokens.
.claude/skills/grad-policy-streams/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Kingdon's multiple streams framework (1984) explains policy change through the convergence of three independent streams: problems, policies, and politics. When these streams couple — often catalyzed by a policy entrepreneur — a policy window opens, creating an opportunity for policy adoption.
Trigger conditions:
When NOT to use:
IRON LAW: Policy Change Requires Convergence of ALL THREE Streams
A solution without a recognized problem or political will remains just
an idea. The three streams flow independently:
1. PROBLEM STREAM: How conditions become recognized as problems
(indicators, focusing events, feedback)
2. POLICY STREAM: The "primeval soup" of solutions seeking problems
(technical feasibility, value compatibility, anticipation of constraints)
3. POLITICS STREAM: Political mood, organized interests, government
turnover (elections, public sentiment shifts)
POLICY WINDOWS open when streams converge — they are brief and
close quickly. Policy entrepreneurs COUPLE the streams.Identify how the issue became defined as a "problem": through indicators (data/statistics), focusing events (crises, disasters), or feedback from existing programs.
Examine the available policy solutions: their technical feasibility, budgetary workability, value compatibility with the political community, and anticipation of future constraints.
Assess the political mood (national mood, public opinion), organized political forces (interest groups, coalitions), and government composition (administration changes, legislative turnover).
Determine whether and how the three streams converged. Identify the policy entrepreneur(s) who coupled the streams and the type of policy window (problem window vs political window).
# Policy Streams Analysis: {Policy/Issue}
## Problem Stream
- How issue became a "problem": {indicators/focusing events/feedback}
- Problem definition: {how the problem is framed}
- Competing definitions: {alternative problem framings}
## Policy Stream
- Available solutions: {policy proposals in the "primeval soup"}
- Technical feasibility: {can it work?}
- Value compatibility: {does it fit political values?}
- Budgetary workability: {is it affordable?}
## Politics Stream
- National mood: {public sentiment direction}
- Organized forces: {interest group positions}
- Government composition: {who is in power, recent changes}
## Policy Window
- Window type: {problem window or political window}
- Coupling mechanism: {how streams converged}
- Policy entrepreneur: {who coupled the streams, with what resources}
- Window duration: {how long it stayed open}
## Outcome
{What was adopted, why, and what was left out}references/policy-entrepreneurs.mdreferences/comparative-msf.md© asgard-ai-platform, MIT. 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 3 other files (references) in grad-policy-streams of asgard-ai-platform/skills.
Open the folder on GitHubat commit 4e7f4f8
Grad Policy Streams 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 |
|---|---|---|---|---|---|---|
| Grad Policy Streams this skillasgard-ai-platform/skills | 242 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Implementing Policy As Code With Open Policy Agentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Is This A Problemanthropics/claude-for-legal | 9.6k | 2 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Policy Acknowledgementsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Cuda Streamspytorch/pytorch | 104k | — | ~796 | Automated safety check: Pass | Custom licence | |
| Monitor Streamruvnet/ruflo | 74k | — | ~188 | Automated safety check: Pass | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…
anthropics/claude-for-legal
Fast "is this a problem?" answer for the quick Slack question — pattern-matches against your calibration.
sickn33/agentic-awesome-skills
Policy acknowledgement register: employee, policy and version, sent and due dates, acknowledged date and flag, days overdue, reminder sent and status.
pytorch/pytorch
Manage tensor lifetimes across CUDA streams and decide whether recordstream is avoidable.
ruvnet/ruflo
Stream live swarm events using the Monitor tool for real-time observability
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing whether a website has a visible, accessible privacy policy link, particularly in the footer navigation.
asgard-ai-platform/skills
Implement BM25 ranking function for e-commerce product search relevance scoring.
asgard-ai-platform/skills
Calculate Cpk process capability index to assess whether a process meets specification requirements.
asgard-ai-platform/skills
Calculate price elasticity of demand to quantify how price changes affect sales volume.
asgard-ai-platform/skills
Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.
asgard-ai-platform/skills
Implement Elo rating system to rank items or players from pairwise comparison outcomes.
asgard-ai-platform/skills
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.
Apply Kingdon's multiple streams framework to analyze how problems, policies, and politics converge to open policy windows. Grad Policy Streams is an agent skill from asgard-ai-platform/skills. Apply Kingdon's multiple streams framework to analyze how problems, policies, and politics converge to open policy windows.
Grad Policy Streams fits situations like: the user needs to explain why certain policies get adopted while others dont; identify policy windows and entrepreneurial opportunities; analyze the agenda-setting process in public policy — even if they say why did this policy pass now; how do issues get on the agenda.
Run `npx skills add asgard-ai-platform/skills --skill grad-policy-streams -a claude-code`. Or copy the skill folder (grad-policy-streams in asgard-ai-platform/skills) into .claude/skills/grad-policy-streams in your project. Claude Code loads it when a task matches its description.
Run `npx skills add asgard-ai-platform/skills --skill grad-policy-streams -a codex`. Or copy the skill folder (grad-policy-streams in asgard-ai-platform/skills) into .agents/skills/grad-policy-streams 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 asgard-ai-platform/skills --skill grad-policy-streams -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grad-policy-streams, .gemini/skills/grad-policy-streams, .github/skills/grad-policy-streams and .opencode/skills/grad-policy-streams in your project.
SKILL.md names no scripts, command-line tools or credentials: Grad Policy Streams 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.
Grad Policy Streams is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.3k 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 6.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Grad Policy Streams: Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Is This A Problem (anthropics/claude-for-legal, 9.6k stars), Policy Acknowledgement (sickn33/agentic-awesome-skills, 47k stars) and Cuda Streams (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
