read-memory
Skill0 starsChanged 3 months agoMITView on GitHub
Dump the current state of this topic's section-versioned memory (background, current_understanding, decisions, open_questions, commitments, people). Use at the start of every Q&A turn so the agent answers from memory, not training data. Triggers: "what do we know", "current state", "read memory", "目前理解", "現在進度", "/read-memory".
In this repository7 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- templates/CLAUDE.mdCLAUDE.md
- approve-proposalSkill
- ingest-sourceSkill
- meeting-notesSkill
- propose-memory-updateSkill
- support-threadSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 8 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Run the dump script — one Bash call, do not read the files individually:
- Distinctive: line 29
Every Q&A turn (auto-load at start of conversation)
- Distinctive: line 30
When user asks "what do we know about X"
- Distinctive: line 31
Before writing memory (to avoid duplicating existing entries)
- Distinctive: line 32
Before answering — never speak from training data alone
- Distinctive: line 36
Don't read memory/*.md one file at a time — that's 12 tool calls for what the script does in one
- Distinctive: line 38
Don't paraphrase — use the raw markdown so citations stay verbatim
- Distinctive: line 39
Don't filter by relevance — let the agent decide what to use
- Very specific: line 40
Don't fetch sources/ — that's for ingest-source, not for normal Q&A
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
read-memory
Loads the topic's memory sections so the agent can answer with cited facts.
Behavior
Run the dump script — one Bash call, do not read the files individually:
bash .claude/skills/read-memory/dump.shIt prints all six sections (background, current_understanding, decisions,
open_questions, commitments, people) under ## <section> headers, each
with its last-commit timestamp, and (尚未有任何條目) for empty sections.
When to invoke
- Every Q&A turn (auto-load at start of conversation)
- When user asks "what do we know about X"
- Before writing memory (to avoid duplicating existing entries)
- Before answering — never speak from training data alone
What NOT to do
- Don't read memory/*.md one file at a time — that's 12 tool calls for what the script does in one
- Don't paraphrase — use the raw markdown so citations stay verbatim
- Don't filter by relevance — let the agent decide what to use
- Don't fetch sources/ — that's for
ingest-source, not for normal Q&A
Does it work?
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- It worked
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

