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GeneralCodename-Inc

spectre-recall

Use when user wants to search for existing knowledge, recall a specific learning, or discover what knowledge is available.

Stars
142
Source
Codename-Inc/spectre
Updated
2026-05-28
Slug
Codename-Inc--spectre--spectre-recall
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/Codename-Inc/spectre/HEAD/.agents/skills/spectre-recall/SKILL.md -o .claude/skills/spectre-recall.md

Drops the SKILL.md into .claude/skills/spectre-recall.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Recall Knowledge

Search and load relevant knowledge from the project's spectre learnings into your context.

Registry

SPECTRE Knowledge Registry

Format: skill-name|category|triggers|description

feature-codex-spectre-implementation|feature|codex, spectre, codex install, sessionstart, agents.override, registry, spectre-learn, spectre-recall, hooks.json, config.toml, doctor|Use when modifying the Codex SPECTRE install flow, SessionStart continuity, project skill syncing, registry injection, or Codex-specific runtime files. release|workflow|release, version bump, changelog, github release, npm publish, codex sync, local codex install|Run the SPECTRE release workflow, including version bumps, Codex sync, local Codex install verification, GitHub release, and npm publish.

How to Use

  1. Scan available skills in your context — trigger keywords are visible in each skill's description
  2. Load matching skills: Skill({skill-name})
  3. Apply knowledge — use it to guide your approach

The registry above is a fallback reference. For session-start discovery, triggers are embedded in each skill's frontmatter description.

Search Commands

  • /recall {query} — search registry for matches
  • /recall — show all available knowledge by category

Workflow

Single match → Load automatically via Skill({skill-name})

Multiple matches → List options, ask user which to load

No matches → Suggest /learn to capture new knowledge