Monitor Stream
ruvnet/ruflo
Stream live swarm events using the Monitor tool for real-time observability
A skill your agent uses when an Emerge event stream contains patternobserved, localpatternobserved, patternaggregated, or patternpendingsynthesis and Claude must turn raw runner/operator facts into…
MITAuto-check passed
Install Distill From Pattern
$ npx skills add jianzhichun/emerge --skill distill-from-pattern -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jianzhichun/emerge distill-from-pattern --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/jianzhichun/emerge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/distill-from-pattern .claude/skills/distill-from-pattern && 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 "distill-from-pattern" agent skill from https://github.com/jianzhichun/emerge/tree/main/skills/distill-from-pattern into .claude/skills/distill-from-pattern/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "distill-from-pattern", 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/jianzhichun/emerge/tree/main/skills/distill-from-patternType 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 jianzhichun/emerge --skill distill-from-pattern -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jianzhichun/emerge distill-from-pattern --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jianzhichun/emerge.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/distill-from-pattern .agents/skills/distill-from-pattern && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "distill-from-pattern" agent skill from https://github.com/jianzhichun/emerge/tree/main/skills/distill-from-pattern into .agents/skills/distill-from-pattern/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "distill-from-pattern", 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 jianzhichun/emerge --skill distill-from-pattern -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jianzhichun/emerge distill-from-pattern --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jianzhichun/emerge.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/distill-from-pattern .cursor/skills/distill-from-pattern && 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 "distill-from-pattern" agent skill from https://github.com/jianzhichun/emerge/tree/main/skills/distill-from-pattern into .cursor/skills/distill-from-pattern/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "distill-from-pattern", 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/jianzhichun/emerge.git --path skills/distill-from-pattern--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 jianzhichun/emerge --skill distill-from-pattern -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jianzhichun/emerge distill-from-pattern --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jianzhichun/emerge.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/distill-from-pattern .gemini/skills/distill-from-pattern && 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 "distill-from-pattern" agent skill from https://github.com/jianzhichun/emerge/tree/main/skills/distill-from-pattern into .gemini/skills/distill-from-pattern/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "distill-from-pattern", 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 jianzhichun/emerge distill-from-patternInstalls 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 jianzhichun/emerge --skill distill-from-pattern -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jianzhichun/emerge.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/distill-from-pattern .github/skills/distill-from-pattern && 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 "distill-from-pattern" agent skill from https://github.com/jianzhichun/emerge/tree/main/skills/distill-from-pattern into .github/skills/distill-from-pattern/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "distill-from-pattern", 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 jianzhichun/emerge --skill distill-from-pattern -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jianzhichun/emerge distill-from-pattern --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jianzhichun/emerge.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/distill-from-pattern .opencode/skills/distill-from-pattern && 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 "distill-from-pattern" agent skill from https://github.com/jianzhichun/emerge/tree/main/skills/distill-from-pattern into .opencode/skills/distill-from-pattern/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "distill-from-pattern", 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
distill-from-pattern- GitHub stars
- 104
- Token cost
- ~561 tokens
- SKILL.md length
- 235 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when an Emerge event stream contains patternobserved, localpatternobserved, patternaggregated, or patternpendingsynthesis and Claude must turn raw runner/operator facts into…
- Works in 6 steps: Read the referenced event window from… → Read connector-local NOTES.md and… → Infer the smallest repeated operation… → …
- An Emerge event stream contains patternobserved
- SKILL.md covers Handoff Contract, Workflow, Rules and Output
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Distill From Pattern is an agent skill from jianzhichun/emerge. Use when an Emerge event stream contains patternobserved, localpatternobserved, patternaggregated, or patternpendingsynthesis and Claude must turn raw runner/operator facts into one conservative pipeline candidate through normal mechanism tools.
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The licence is MIT.
When your agent uses it
- An Emerge event stream contains patternobserved
- Localpatternobserved
- Patternaggregated
Example prompts
- “/distill-from-pattern”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Read the referenced event window from events/events-.jsonl, events/events-local.jsonl, or events/events.jsonl.
- Read connector-local NOTES.md and optional synthesis_hints.yaml.
- Infer the smallest repeated operation and choose a generic connector.mode.name intent.
- Write conservative exploratory code that assigns result for reads or action for writes.
- Run one icc_exec with explicit intent_signature and representative args.
- If execution fails or verification is ambiguous, report the blocker instead of retrying indefinitely.
What it can do on your machine
Read from SKILL.md and the folder at commit 035db30. 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
Distill From Pattern loads about 561 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 235 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 jianzhichun/emerge at commit 035db30, republished under its MIT licence (© jianzhichun). 235 words, ~561 tokens.
Download SKILL.mdSave it as
.claude/skills/distill-from-pattern/SKILL.md (or your agent's skills folder).- name
- distill-from-pattern
- description
- Use when an Emerge event stream contains pattern_observed, local_pattern_observed, pattern_aggregated, or pattern_pending_synthesis and Claude must turn raw runner/operator facts into one conservative pipeline candidate through normal mechanism tools.
Distill From Pattern
Use this when pattern_observed, local_pattern_observed, pattern_aggregated, or pattern_pending_synthesis appears in the event stream. The Python layer only emits facts; Claude performs the judgment.
Handoff Contract
scripts/synthesis_events.py is the deterministic packaging boundary. It can append pattern_pending_synthesis and synthesis_job_ready facts for a selected event window, but it does not choose whether the pattern matters, call an LLM provider, smoke-test generated code, or materialize a pipeline.
When the stream only contains pattern_observed, local_pattern_observed, or pattern_aggregated, inspect the facts first. If they justify distillation, package or reference the selected window as synthesis facts, then continue from pattern_pending_synthesis / synthesis_job_ready. Do not reintroduce a Python coordinator.
Workflow
- Read the referenced event window from
events/events-<profile>.jsonl,events/events-local.jsonl, orevents/events.jsonl. - Read connector-local
NOTES.mdand optionalsynthesis_hints.yaml. - Infer the smallest repeated operation and choose a generic
connector.mode.nameintent. - Write conservative exploratory code that assigns
__resultfor reads or__actionfor writes. - Run one
icc_execwith explicitintent_signatureand representativeargs. - If execution fails or verification is ambiguous, report the blocker instead of retrying indefinitely.
Rules
- Keep product-specific knowledge in connector-local files, not this skill.
- Parameterize only values that vary across event samples.
- Prefer a narrow pipeline candidate over a broad one with weak verification.
- Never write lifecycle state directly; use the mechanism tools that record WAL and evidence.
Output
Return a concise report with intent signature, source events inspected, icc_exec verification result, and any remaining blocker.
© jianzhichun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/distill-from-pattern of jianzhichun/emerge.
Open the folder on GitHubat commit 035db30
Compare with similar skills
Distill From Pattern 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 |
|---|---|---|---|---|---|---|
| Distill From Pattern this skilljianzhichun/emerge | 104 | — | ~561 | Automated safety check: Pass | MIT | |
| Monitor Streamruvnet/ruflo | 74k | — | ~188 | Automated safety check: Pass | MIT | |
| Golang Patternsaffaan-m/ECC | 276k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Patternssickn33/agentic-awesome-skills | 47k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Kotlin Exposed Patternsaffaan-m/ECC | 276k | 4 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Dotnet Patternsaffaan-m/ECC | 276k | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
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Questions about Distill From Pattern
What does Distill From Pattern do?
A skill your agent uses when an Emerge event stream contains patternobserved, localpatternobserved, patternaggregated, or patternpendingsynthesis and Claude must turn raw runner/operator facts into…. Distill From Pattern is an agent skill from jianzhichun/emerge. Use when an Emerge event stream contains patternobserved, localpatternobserved, patternaggregated, or patternpendingsynthesis and Claude must turn raw runner/operator facts into one conservative pipeline candidate through normal mechanism tools.
When should I use Distill From Pattern?
Distill From Pattern fits situations like: an Emerge event stream contains patternobserved; localpatternobserved; patternaggregated.
How do I install Distill From Pattern in Claude Code?
Run `npx skills add jianzhichun/emerge --skill distill-from-pattern -a claude-code`. Or copy the skill folder (skills/distill-from-pattern in jianzhichun/emerge) into .claude/skills/distill-from-pattern in your project. Claude Code loads it when a task matches its description.
How do I install Distill From Pattern in Codex?
Run `npx skills add jianzhichun/emerge --skill distill-from-pattern -a codex`. Or copy the skill folder (skills/distill-from-pattern in jianzhichun/emerge) into .agents/skills/distill-from-pattern in your project. Codex loads it when a task matches its description.
Can I use Distill From Pattern 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 jianzhichun/emerge --skill distill-from-pattern -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/distill-from-pattern, .gemini/skills/distill-from-pattern, .github/skills/distill-from-pattern and .opencode/skills/distill-from-pattern in your project.
What does Distill From Pattern need to run?
SKILL.md names no scripts, command-line tools or credentials: Distill From Pattern is instructions for the agent only. Our summary lists: Python 3.
Does Distill From Pattern 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 Distill From Pattern 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 Distill From Pattern use?
Distill From Pattern is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Distill From Pattern use?
About 561 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Distill From Pattern?
Skills that share tags, products or a category with Distill From Pattern: Monitor Stream (ruvnet/ruflo, 74k stars), Golang Patterns (affaan-m/ECC, 276k stars), Patterns (sickn33/agentic-awesome-skills, 47k stars) and Kotlin Exposed Patterns (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Distill From Pattern?
jianzhichun (a GitHub user) maintains it in jianzhichun/emerge, which has 104 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on April 26, 2026.
Source: jianzhichun/emerge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.