Memory Literary Analysis
basicmachines-co/basic-memory
Analyze a complete literary work into a structured Basic Memory knowledge graph.
Agent skill
Memory Literary Analysis
by FirefoxCSS-Store in FirefoxCSS-Store/FirefoxCSS-Store.github.io
Analyze a complete literary work into a structured Basic Memory knowledge graph.
Install Memory Literary Analysis
$ npx skills add FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FirefoxCSS-Store/FirefoxCSS-Store.github.io memory-literary-analysis --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/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/memory-literary-analysis .claude/skills/memory-literary-analysis && 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 "memory-literary-analysis" agent skill from https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysis into .claude/skills/memory-literary-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-literary-analysis", 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/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysisType 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 FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FirefoxCSS-Store/FirefoxCSS-Store.github.io memory-literary-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/memory-literary-analysis .agents/skills/memory-literary-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-literary-analysis" agent skill from https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysis into .agents/skills/memory-literary-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-literary-analysis", 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 FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FirefoxCSS-Store/FirefoxCSS-Store.github.io memory-literary-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/memory-literary-analysis .cursor/skills/memory-literary-analysis && 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 "memory-literary-analysis" agent skill from https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysis into .cursor/skills/memory-literary-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-literary-analysis", 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/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git --path .agents/skills/memory-literary-analysis--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 FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FirefoxCSS-Store/FirefoxCSS-Store.github.io memory-literary-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/memory-literary-analysis .gemini/skills/memory-literary-analysis && 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 "memory-literary-analysis" agent skill from https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysis into .gemini/skills/memory-literary-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-literary-analysis", 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 FirefoxCSS-Store/FirefoxCSS-Store.github.io memory-literary-analysisInstalls 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 FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/memory-literary-analysis .github/skills/memory-literary-analysis && 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 "memory-literary-analysis" agent skill from https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysis into .github/skills/memory-literary-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-literary-analysis", 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 FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FirefoxCSS-Store/FirefoxCSS-Store.github.io memory-literary-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/memory-literary-analysis .opencode/skills/memory-literary-analysis && 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 "memory-literary-analysis" agent skill from https://github.com/FirefoxCSS-Store/FirefoxCSS-Store.github.io/tree/main/.agents/skills/memory-literary-analysis into .opencode/skills/memory-literary-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-literary-analysis", 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
memory-literary-analysis- GitHub stars
- 1k
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,206 words
- Files
- 1
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze a complete literary work into a structured Basic Memory knowledge graph.
- Works in 6 steps: Setup → Seed Entities → Chapter Processing → …
- Tasks that involve Knowledge graphs
- SKILL.md covers When to Use, Pipeline Overview, Phase 0: Setup and Phase 1: Seed Entities, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Memory Literary Analysis is an agent skill from FirefoxCSS-Store/FirefoxCSS-Store.github.io. Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization.
Its SKILL.md is about 4.6k 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 Knowledge Management, covering Knowledge graphs and Database schema design. The repository describes itself as: A collection site of Firefox userchrome themes, mostly from FirefoxCSS Reddit community.
When your agent uses it
- Tasks that involve Knowledge graphs
- Tasks that involve Database schema design
Example prompts
- “/memory-literary-analysis”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Setup
- Seed Entities
- Chapter Processing
- Cross-Referencing
- Validation
- Visualization
What it can do on your machine
Read from SKILL.md and the folder at commit 3a6b2b4. 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 (its code samples are python).
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
Memory Literary Analysis loads about 4.6k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 1,206 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,206 words (~4,567 tokens).
“Transform a complete literary work into a structured knowledge graph. Characters, themes, chapters, locations, symbols, and literary devices become interconnected notes — searchable, validatable, and visualizable.”
- name
- memory-literary-analysis
Files
Just SKILL.md in .agents/skills/memory-literary-analysis of FirefoxCSS-Store/FirefoxCSS-Store.github.io.
Open the folder on GitHubat commit 3a6b2b4
Compare with similar skills
Memory Literary Analysis 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 |
|---|---|---|---|---|---|---|
| Memory Literary Analysis this skillFirefoxCSS-Store/FirefoxCSS-Store.github.io | 1k | — | ~4.6k | Automated safety check: Pass | None | |
| Memory Literary Analysisbasicmachines-co/basic-memory | 4.1k | — | ~8.2k | Automated safety check: Pass | AGPL-3.0 | |
| Geo Knowledgeyaojingang/GEOHub | 164 | — | ~349 | Automated safety check: Pass | AGPL-3.0 | |
| Ncats AraxK-Dense-AI/scientific-agent-skills | 48k | 2 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Using Graph Databasesancoleman/ai-design-components | 526 | — | ~3.2k | Automated safety check: Pass | MIT | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
Similar skills
Geo Knowledge
yaojingang/GEOHub
Build and query an evidence-lined GEO knowledge graph from approved source bundles.
Ncats Arax
K-Dense-AI/scientific-agent-skills
Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships.
Using Graph Databases
ancoleman/ai-design-components
Graph database implementation for relationship-heavy data models.
LLM Wiki Knowledge Graph
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
Ontology
1mancompany/OneManCompany
Typed knowledge graph for structured agent memory and composable skills.
Related
Categories
Questions about Memory Literary Analysis
What does Memory Literary Analysis do?
Analyze a complete literary work into a structured Basic Memory knowledge graph. io. Analyze a complete literary work into a structured Basic Memory knowledge graph.
When should I use Memory Literary Analysis?
Memory Literary Analysis fits situations like: tasks that involve Knowledge graphs; tasks that involve Database schema design.
How do I install Memory Literary Analysis in Claude Code?
Run `npx skills add FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a claude-code`. Or copy the skill folder (.agents/skills/memory-literary-analysis in FirefoxCSS-Store/FirefoxCSS-Store.github.io) into .claude/skills/memory-literary-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Memory Literary Analysis in Codex?
Run `npx skills add FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a codex`. Or copy the skill folder (.agents/skills/memory-literary-analysis in FirefoxCSS-Store/FirefoxCSS-Store.github.io) into .agents/skills/memory-literary-analysis in your project. Codex loads it when a task matches its description.
Can I use Memory Literary Analysis 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 FirefoxCSS-Store/FirefoxCSS-Store.github.io --skill memory-literary-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-literary-analysis, .gemini/skills/memory-literary-analysis, .github/skills/memory-literary-analysis and .opencode/skills/memory-literary-analysis in your project.
What does Memory Literary Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Memory Literary Analysis is instructions for the agent only. Our summary lists: Python 3.
Does Memory Literary Analysis 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 Memory Literary Analysis 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 Memory Literary Analysis use?
No licence was found for Memory Literary Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Memory Literary Analysis use?
About 4.6k tokens (SKILL.md is roughly 18k 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 Memory Literary Analysis?
Skills that share tags, products or a category with Memory Literary Analysis: Memory Literary Analysis (basicmachines-co/basic-memory, 4.1k stars), Geo Knowledge (yaojingang/GEOHub, 164 stars), Ncats Arax (K-Dense-AI/scientific-agent-skills, 48k stars) and Using Graph Databases (ancoleman/ai-design-components, 526 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Memory Literary Analysis?
FirefoxCSS-Store (a GitHub organization) maintains it in FirefoxCSS-Store/FirefoxCSS-Store.github.io, which has 1,000 GitHub stars. The repository was last updated on October 3, 2026.
Source: FirefoxCSS-Store/FirefoxCSS-Store.github.io on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.