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- [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support
---
name: gwern-simonw-emacs-1720391edbe2
description: '- [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support'
---
# gwern-simonw-emacs
> Self-operating Gwern via Simon Willison's LLM CLI toolkit, generating s-expressions through NuShell structured data reflow with CQ analysis.
## Trit: +1 (PLUS - generative)
## The Synthesis
```
┌─────────────────────────────────────────────────────────────────┐
│ SELF-OPERATING GWERN │
│ │
│ Gwern's Essays ────▶ LLM (simonw) ────▶ S-expressions │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ gwern_worlds/ llm CLI Emacs/Hy │
│ (JSON manifests) (tool support) (eval loop) │
│ │ │ │ │
│ └──────────┬─────────┴────────────────────┘ │
│ ▼ │
│ NuShell Structured Data │
│ (typed tables, records) │
│ │ │
│ ▼ │
│ CQ Analysis │
│ (content-addressed queries) │
└─────────────────────────────────────────────────────────────────┘
```
## Simon Willison Exposure
### Into Hy (H)
```python
# simonw/llm → Hy s-expression generation
(import llm)
(setv model (llm.get-model "claude-sonnet-4-20250514"))
(defn gwern->sexp [essay-url]
"Transform Gwern essay to s-expression via LLM"
(let [response (.chain model
f"Convert {essay-url} to Lisp s-expressions preserving structure"
:tools [scraper])]
(hy.read-str (.text response))))
```
### Into Y (Emacs Lisp / General Lisp)
```elisp
;; gwern-simonw.el - Self-operating Gwern in Emacs
(require 'llm) ;; xenodium's llm.el or similar
(defun gwern-to-sexp (url)
"Fetch Gwern essay and convert to s-expression."
(let ((result (shell-command-to-string
(format "llm --tool 'scrape(\"%s\")' 'Convert to sexp' -m claude-sonnet" url))))
(read result)))
(defun gwern-self-operate ()
"Gwern operates on himself - recursive essay analysis."
(interactive)
(let* ((essays '("scaling" "bitter-lesson" "spaced-repetition"))
(sexps (mapcar (lambda (e)
(gwern-to-sexp (format "https://gwern.net/%s" e)))
essays)))
(apply #'append sexps)))
```
## CQ Analysis → NuShell Reflow
### Content-Addressed Queries (CQ)
```nu
# CQ: content-addressed query over Gwern corpus
def cq [query: string] {
# 1. Hash the query for content-addressing
let query_hash = ($query | hash sha256 | str substring 0..8)
# 2. Query gwern_worlds via structured data
ls gwern_worlds/*.json
| each { |f| open $f.name | insert source $f.name }
| flatten
| where content =~ $query
| insert query_hash $query_hash
}
# Reflow: transform CQ results through NuShell tables
def reflow [data: table] {
$data
| group-by source
| transpose key value
| each { |row|
{
source: $row.key
count: ($row.value | length)
sexp: (to-sexp $row.value)
}
}
}
# Convert NuShell record to s-expression
def to-sexp [record] {
let keys = ($record | columns)
let pairs = ($keys | each { |k| $"(:($k) \"($record | get $k)\")" })
$"'(($pairs | str join ' '))"
}
```
### Full Pipeline
```nu
# gwern_simonw_pipeline.nu
# 1. Ingest Gwern essays
def ingest-gwern [essays: list] {
$essays | each { |e|
let url = $"https://gwern.net/($e)"
let content = (http get $url | str substring 0..10000)
{name: $e, url: $url, content: $content}
}
}
# 2. LLM transform via simonw's llm CLI
def llm-sexp [content: string] {
llm -m claude-sonnet $"Convert to s-expression: ($content | str substring 0..2000)"
| str trim
}
# 3. CQ analysis with content-addressing
def analyze-cq [corpus: table, query: string] {
let hash = ($query | hash sha256 | str substring 0..8)
$corpus
| where content =~ $query
| insert cq_hash $hash
| insert sexp { |row| (llm-sexp $row.content) }
}
# 4. Full reflow
def gwern-reflow [] {
let essays = [scaling bitter-lesson spaced-repetition tool-ai]
let corpus = (ingest-gwern $essays)
# Multiple CQ queries
let queries = ["scaling hypothesis" "bitter lesson" "spaced repetition"]
$queries | each { |q|
analyze-cq $corpus $q
} | flatten
}
```
## Integration with Gay.jl SPI
```nu
# Extend gay_spi.nu with s-expression generation
# Reference values generate s-expression colors
def gay-sexp [index: int] {
let val = $REFERENCE_VALUES | get $index
let hue = (($val mod 360) | math abs)
let trit = (($val mod 3) | into int)
$"'(:color (:hue ($hue) :sat 0.7 :lit 0.5) :trit ($trit) :index ($index))"
}
# Generate palette as s-expression
def gay-palette-sexp [n: int] {
0..<$n | each { |i| gay-sexp $i } | str join "\n"
}
```
## Emacs Package Structure
```
gwern-simonw/
├── gwern-simonw.el # Main package
├── gwern-cq.el # CQ query interface
├── gwern-nushell.el # NuShell integration
├── gwern-sexp.el # S-expression generation
└── gwern-llm.el # simonw/llm CLI bridge
```
### gwern-simonw.el Core
```elisp
;;; gwern-simonw.el --- Self-operating Gwern via LLM -*- lexical-binding: t; -*-
(require 'json)
(require 'subr-x)
(defgroup gwern-simonw nil
"Self-operating Gwern with simonw LLM tools."
:group 'applications)
(defcustom gwern-simonw-model "claude-sonnet"
"Default LLM model for Gwern processing."
:type 'string)
(defvar gwern-simonw--cache (make-hash-table :test 'equal)
"Content-addressed cache for CQ results.")
(defun gwern-simonw-cq (query)
"Execute content-addressed query on Gwern corpus."
(let* ((hash (secure-hash 'sha256 query))
(cached (gethash hash gwern-simonw--cache)))
(or cached
(let ((result (gwern-simonw--execute-cq query)))
(puthash hash result gwern-simonw--cache)
result))))
(defun gwern-simonw--execute-cq (query)
"Run CQ via NuShell."
(shell-command-to-string
(format "nu -c 'source gwern_simonw_pipeline.nu; cq \"%s\"'" query)))
(defun gwern-simonw-generate-sexp (topic)
"Generate s-expression from Gwern topic."
(interactive "sTopic: ")
(let ((result (shell-command-to-string
(format "llm -m %s 'Generate Lisp s-expression about %s from Gwern perspective'"
gwern-simonw-model topic))))
(with-current-buffer (get-buffer-create "*Gwern S-exp*")
(erase-buffer)
(insert result)
(lisp-mode)
(pop-to-buffer (current-buffer)))))
(provide 'gwern-simonw)
;;; gwern-simonw.el ends here
```
## NuShell Data Structures
```nu
# Typed records for Gwern analysis
# Essay record
record Essay {
name: string
url: string
content: string
word_count: int
cq_hashes: list<string>
}
# CQ Result
record CQResult {
query: string
hash: string
matches: list<Essay>
sexp: string
}
# Reflow State
record ReflowState {
input: table
transforms: list<string>
output: table
gf3_trit: int
}
```
## GF(3) Conservation
```
gwern-simonw-emacs (+1) ⊗ nushell-cq (0) ⊗ leapity-frog (-1) = 0 ✓
simonw-llm (+1) ⊗ gay-spi (0) ⊗ gwern-corpus (-1) = 0 ✓
```
## Usage
```bash
# Install simonw's llm
pip install llm
llm install llm-claude-3
# Run NuShell pipeline
nu gwern_simonw_pipeline.nu
# In Emacs
M-x gwern-simonw-generate-sexp RET "scaling laws" RET
```
## References
- [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support
- [llm-tools-datasette](https://github.com/simonw/llm-tools-datasette) - Datasette integration
- [gwern.net](https://gwern.net) - Gwern's essay corpus
- [gay_spi.nu](file:///Users/bob/ies/gay_spi.nu) - NuShell SPI implementation
- [gwern_worlds/](file:///Users/bob/ies/gwern_worlds) - Gwern world manifests
---
## Autopoietic Marginalia
> **The interaction IS the skill improving itself.**
Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills
- **WORLDING** (+1): Evolve the skill based on use
*Add Interaction Exemplars here as the skill is used.*
---
name: gwern-simonw-emacs-1720391edbe2
description: '- [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support'
---
# gwern-simonw-emacs
> Self-operating Gwern via Simon Willison's LLM CLI toolkit, generating s-expressions through NuShell structured data reflow with CQ analysis.
## Trit: +1 (PLUS - generative)
## The Synthesis
```
┌─────────────────────────────────────────────────────────────────┐
│ SELF-OPERATING GWERN │
│ │
│ Gwern's Essays ────▶ LLM (simonw) ────▶ S-expressions │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ gwern_worlds/ llm CLI Emacs/Hy │
│ (JSON manifests) (tool support) (eval loop) │
│ │ │ │ │
│ └──────────┬─────────┴────────────────────┘ │
│ ▼ │
│ NuShell Structured Data │
│ (typed tables, records) │
│ │ │
│ ▼ │
│ CQ Analysis │
│ (content-addressed queries) │
└─────────────────────────────────────────────────────────────────┘
```
## Simon Willison Exposure
### Into Hy (H)
```python
# simonw/llm → Hy s-expression generation
(import llm)
(setv model (llm.get-model "claude-sonnet-4-20250514"))
(defn gwern->sexp [essay-url]
"Transform Gwern essay to s-expression via LLM"
(let [response (.chain model
f"Convert {essay-url} to Lisp s-expressions preserving structure"
:tools [scraper])]
(hy.read-str (.text response))))
```
### Into Y (Emacs Lisp / General Lisp)
```elisp
;; gwern-simonw.el - Self-operating Gwern in Emacs
(require 'llm) ;; xenodium's llm.el or similar
(defun gwern-to-sexp (url)
"Fetch Gwern essay and convert to s-expression."
(let ((result (shell-command-to-string
(format "llm --tool 'scrape(\"%s\")' 'Convert to sexp' -m claude-sonnet" url))))
(read result)))
(defun gwern-self-operate ()
"Gwern operates on himself - recursive essay analysis."
(interactive)
(let* ((essays '("scaling" "bitter-lesson" "spaced-repetition"))
(sexps (mapcar (lambda (e)
(gwern-to-sexp (format "https://gwern.net/%s" e)))
essays)))
(apply #'append sexps)))
```
## CQ Analysis → NuShell Reflow
### Content-Addressed Queries (CQ)
```nu
# CQ: content-addressed query over Gwern corpus
def cq [query: string] {
# 1. Hash the query for content-addressing
let query_hash = ($query | hash sha256 | str substring 0..8)
# 2. Query gwern_worlds via structured data
ls gwern_worlds/*.json
| each { |f| open $f.name | insert source $f.name }
| flatten
| where content =~ $query
| insert query_hash $query_hash
}
# Reflow: transform CQ results through NuShell tables
def reflow [data: table] {
$data
| group-by source
| transpose key value
| each { |row|
{
source: $row.key
count: ($row.value | length)
sexp: (to-sexp $row.value)
}
}
}
# Convert NuShell record to s-expression
def to-sexp [record] {
let keys = ($record | columns)
let pairs = ($keys | each { |k| $"(:($k) \"($record | get $k)\")" })
$"'(($pairs | str join ' '))"
}
```
### Full Pipeline
```nu
# gwern_simonw_pipeline.nu
# 1. Ingest Gwern essays
def ingest-gwern [essays: list] {
$essays | each { |e|
let url = $"https://gwern.net/($e)"
let content = (http get $url | str substring 0..10000)
{name: $e, url: $url, content: $content}
}
}
# 2. LLM transform via simonw's llm CLI
def llm-sexp [content: string] {
llm -m claude-sonnet $"Convert to s-expression: ($content | str substring 0..2000)"
| str trim
}
# 3. CQ analysis with content-addressing
def analyze-cq [corpus: table, query: string] {
let hash = ($query | hash sha256 | str substring 0..8)
$corpus
| where content =~ $query
| insert cq_hash $hash
| insert sexp { |row| (llm-sexp $row.content) }
}
# 4. Full reflow
def gwern-reflow [] {
let essays = [scaling bitter-lesson spaced-repetition tool-ai]
let corpus = (ingest-gwern $essays)
# Multiple CQ queries
let queries = ["scaling hypothesis" "bitter lesson" "spaced repetition"]
$queries | each { |q|
analyze-cq $corpus $q
} | flatten
}
```
## Integration with Gay.jl SPI
```nu
# Extend gay_spi.nu with s-expression generation
# Reference values generate s-expression colors
def gay-sexp [index: int] {
let val = $REFERENCE_VALUES | get $index
let hue = (($val mod 360) | math abs)
let trit = (($val mod 3) | into int)
$"'(:color (:hue ($hue) :sat 0.7 :lit 0.5) :trit ($trit) :index ($index))"
}
# Generate palette as s-expression
def gay-palette-sexp [n: int] {
0..<$n | each { |i| gay-sexp $i } | str join "\n"
}
```
## Emacs Package Structure
```
gwern-simonw/
├── gwern-simonw.el # Main package
├── gwern-cq.el # CQ query interface
├── gwern-nushell.el # NuShell integration
├── gwern-sexp.el # S-expression generation
└── gwern-llm.el # simonw/llm CLI bridge
```
### gwern-simonw.el Core
```elisp
;;; gwern-simonw.el --- Self-operating Gwern via LLM -*- lexical-binding: t; -*-
(require 'json)
(require 'subr-x)
(defgroup gwern-simonw nil
"Self-operating Gwern with simonw LLM tools."
:group 'applications)
(defcustom gwern-simonw-model "claude-sonnet"
"Default LLM model for Gwern processing."
:type 'string)
(defvar gwern-simonw--cache (make-hash-table :test 'equal)
"Content-addressed cache for CQ results.")
(defun gwern-simonw-cq (query)
"Execute content-addressed query on Gwern corpus."
(let* ((hash (secure-hash 'sha256 query))
(cached (gethash hash gwern-simonw--cache)))
(or cached
(let ((result (gwern-simonw--execute-cq query)))
(puthash hash result gwern-simonw--cache)
result))))
(defun gwern-simonw--execute-cq (query)
"Run CQ via NuShell."
(shell-command-to-string
(format "nu -c 'source gwern_simonw_pipeline.nu; cq \"%s\"'" query)))
(defun gwern-simonw-generate-sexp (topic)
"Generate s-expression from Gwern topic."
(interactive "sTopic: ")
(let ((result (shell-command-to-string
(format "llm -m %s 'Generate Lisp s-expression about %s from Gwern perspective'"
gwern-simonw-model topic))))
(with-current-buffer (get-buffer-create "*Gwern S-exp*")
(erase-buffer)
(insert result)
(lisp-mode)
(pop-to-buffer (current-buffer)))))
(provide 'gwern-simonw)
;;; gwern-simonw.el ends here
```
## NuShell Data Structures
```nu
# Typed records for Gwern analysis
# Essay record
record Essay {
name: string
url: string
content: string
word_count: int
cq_hashes: list<string>
}
# CQ Result
record CQResult {
query: string
hash: string
matches: list<Essay>
sexp: string
}
# Reflow State
record ReflowState {
input: table
transforms: list<string>
output: table
gf3_trit: int
}
```
## GF(3) Conservation
```
gwern-simonw-emacs (+1) ⊗ nushell-cq (0) ⊗ leapity-frog (-1) = 0 ✓
simonw-llm (+1) ⊗ gay-spi (0) ⊗ gwern-corpus (-1) = 0 ✓
```
## Usage
```bash
# Install simonw's llm
pip install llm
llm install llm-claude-3
# Run NuShell pipeline
nu gwern_simonw_pipeline.nu
# In Emacs
M-x gwern-simonw-generate-sexp RET "scaling laws" RET
```
## References
- [simonw/llm](https://github.com/simonw/llm) - LLM CLI with tool support
- [llm-tools-datasette](https://github.com/simonw/llm-tools-datasette) - Datasette integration
- [gwern.net](https://gwern.net) - Gwern's essay corpus
- [gay_spi.nu](file:///Users/bob/ies/gay_spi.nu) - NuShell SPI implementation
- [gwern_worlds/](file:///Users/bob/ies/gwern_worlds) - Gwern world manifests
---
## Autopoietic Marginalia
> **The interaction IS the skill improving itself.**
Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills
- **WORLDING** (+1): Evolve the skill based on use
*Add Interaction Exemplars here as the skill is used.*
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.