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kyluskylus/agentport/skills/read-memory/SKILL.md

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".

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
  1. Distinctive:

    Run the dump script — one Bash call, do not read the files individually:

    line 17
  2. Distinctive:

    Every Q&A turn (auto-load at start of conversation)

    line 29
  3. Distinctive:

    When user asks "what do we know about X"

    line 30
  4. Distinctive:

    Before writing memory (to avoid duplicating existing entries)

    line 31
  5. Distinctive:

    Before answering — never speak from training data alone

    line 32
  6. Distinctive:

    Don't read memory/*.md one file at a time — that's 12 tool calls for what the script does in one

    line 36
  7. Distinctive:

    Don't paraphrase — use the raw markdown so citations stay verbatim

    line 38
  8. Distinctive:

    Don't filter by relevance — let the agent decide what to use

    line 39
  9. Very specific:

    Don't fetch sources/ — that's for ingest-source, not for normal Q&A

    line 40

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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.sh

It 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

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