Project Timeline Report
thedotmack/claude-mem
Writes a narrative Journey Into report on a project's whole development history, built from the timeline that claude-mem has recorded.
Identify and formalize durable product and technical decisions from agent outputs into long-term memory.
Install Decision Extraction
$ npx skills add digipulse-engineering/GAAI-framework --skill decision-extraction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digipulse-engineering/GAAI-framework decision-extraction --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/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.gaai/core/skills/cross/decision-extraction .claude/skills/decision-extraction && 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 "decision-extraction" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extraction into .claude/skills/decision-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-extraction", 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/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extractionType 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 digipulse-engineering/GAAI-framework --skill decision-extraction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digipulse-engineering/GAAI-framework decision-extraction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.gaai/core/skills/cross/decision-extraction .agents/skills/decision-extraction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "decision-extraction" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extraction into .agents/skills/decision-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-extraction", 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 digipulse-engineering/GAAI-framework --skill decision-extraction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digipulse-engineering/GAAI-framework decision-extraction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.gaai/core/skills/cross/decision-extraction .cursor/skills/decision-extraction && 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 "decision-extraction" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extraction into .cursor/skills/decision-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-extraction", 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/digipulse-engineering/GAAI-framework.git --path .gaai/core/skills/cross/decision-extraction--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 digipulse-engineering/GAAI-framework --skill decision-extraction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digipulse-engineering/GAAI-framework decision-extraction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.gaai/core/skills/cross/decision-extraction .gemini/skills/decision-extraction && 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 "decision-extraction" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extraction into .gemini/skills/decision-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-extraction", 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 digipulse-engineering/GAAI-framework decision-extractionInstalls 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 digipulse-engineering/GAAI-framework --skill decision-extraction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/.gaai/core/skills/cross/decision-extraction .github/skills/decision-extraction && 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 "decision-extraction" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extraction into .github/skills/decision-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-extraction", 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 digipulse-engineering/GAAI-framework --skill decision-extraction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digipulse-engineering/GAAI-framework decision-extraction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digipulse-engineering/GAAI-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.gaai/core/skills/cross/decision-extraction .opencode/skills/decision-extraction && 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 "decision-extraction" agent skill from https://github.com/digipulse-engineering/GAAI-framework/tree/main/.gaai/core/skills/cross/decision-extraction into .opencode/skills/decision-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-extraction", 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
decision-extraction- GitHub stars
- 163
- Token cost
- ~1.9k tokens
- SKILL.md length
- 738 words
- Files
- 1
- Skills in repo
- 55
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Identify and formalize durable product and technical decisions from agent outputs into long-term memory.
- Works in 4 steps: Decision Consistency Gate (mandatory).… → Scan outputs for explicit or implicit… → Filter strictly for durable,… → …
- Tasks that involve Agent memory
- SKILL.md covers Purpose / When to Activate, Process, Output Format and Quality Checks, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Decision Extraction is an agent skill from digipulse-engineering/GAAI-framework. Identify and formalize durable product and technical decisions from agent outputs into long-term memory. Activate after Discovery produces artefacts, Delivery resolves trade-offs, or product direction materially changes.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Works with any filesystem-based AI coding agent
It sits in Agent Workflows, covering Agent memory. The repository describes itself as: Turns AI coding tools into reliable software delivery systems. Drop a .gaai/ folder into any project — Discovery defines what to build, Delivery executes autonomously until…
When your agent uses it
- Tasks that involve Agent memory
Example prompts
- “/decision-extraction”
Requirements
- Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Decision Consistency Gate (mandatory). Before extracting any new decision
- Scan outputs for explicit or implicit decisions: architectural choices, accepted trade-offs, scope boundaries, prioritization shifts…
- Filter strictly for durable, governance-relevant decisions
- Deduplication check: Scan the Decision Registry in index.md for existing entries covering the same topic. If found: (a) if the new…
What it can do on your machine
Read from SKILL.md and the folder at commit a26ea7a. 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 yaml).
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.
Compatibility
Works with any filesystem-based AI coding agent
From compatibility in the SKILL.md frontmatter.
Context cost
Decision Extraction loads about 1.9k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 738 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 738 words (~1,862 tokens).
- name
- decision-extraction
- compatibility
- Works with any filesystem-based AI coding agent
- license
- ELv2
- metadata.author
- gaai-framework
- metadata.version
- 1.0
- metadata.category
- cross
- metadata.track
- cross-cutting
- metadata.id
- SKILL-DECISION-EXTRACTION-001
- metadata.updated_at
- 2026-04-05
- metadata.status
- stable
- inputs
- contexts/artefacts/** (governed)
- outputs
- contexts/memory/decisions/DEC-{N}.md (individual ADR file), contexts/memory/decisions/_log.md (next ID updated), contexts/memory/index.md (registry + file…
Files
Just SKILL.md in .gaai/core/skills/cross/decision-extraction of digipulse-engineering/GAAI-framework.
Open the folder on GitHubat commit a26ea7a
Compare with similar skills
Decision Extraction 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 |
|---|---|---|---|---|---|---|
| Decision Extraction this skilldigipulse-engineering/GAAI-framework | 163 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Project Timeline Reportthedotmack/claude-mem | 97k | 1 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Reflect on Session Learningscursor/plugins | 10k | 5 repos | ~1.2k | Automated safety check: Pass | None |
Similar skills
Neat-Freak Knowledge Closeout
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
Beads Task Memory
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
MemPalace Memory Search
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
- Official
Reflect on Session Learnings
cursor/plugins
Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.
Compound Learning Writer
EveryInc/compound-engineering-plugin
Records one solved and verified problem as a durable learning in the repository, but only when the reasoning is not already clear from the final code, tests or docs.
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Categories
Questions about Decision Extraction
What does Decision Extraction do?
Identify and formalize durable product and technical decisions from agent outputs into long-term memory. Decision Extraction is an agent skill from digipulse-engineering/GAAI-framework. Identify and formalize durable product and technical decisions from agent outputs into long-term memory.
When should I use Decision Extraction?
Decision Extraction fits situations like: tasks that involve Agent memory.
How do I install Decision Extraction in Claude Code?
Run `npx skills add digipulse-engineering/GAAI-framework --skill decision-extraction -a claude-code`. Or copy the skill folder (.gaai/core/skills/cross/decision-extraction in digipulse-engineering/GAAI-framework) into .claude/skills/decision-extraction in your project. Claude Code loads it when a task matches its description.
How do I install Decision Extraction in Codex?
Run `npx skills add digipulse-engineering/GAAI-framework --skill decision-extraction -a codex`. Or copy the skill folder (.gaai/core/skills/cross/decision-extraction in digipulse-engineering/GAAI-framework) into .agents/skills/decision-extraction in your project. Codex loads it when a task matches its description.
Can I use Decision Extraction 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 digipulse-engineering/GAAI-framework --skill decision-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/decision-extraction, .gemini/skills/decision-extraction, .github/skills/decision-extraction and .opencode/skills/decision-extraction in your project.
What does Decision Extraction need to run?
SKILL.md names no scripts, command-line tools or credentials: Decision Extraction is instructions for the agent only. Compatibility (from SKILL.md): Works with any filesystem-based AI coding agent.
Does Decision Extraction 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 Decision Extraction 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 Decision Extraction use?
Decision Extraction has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Decision Extraction use?
About 1.9k tokens (SKILL.md is roughly 7.4k 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 Decision Extraction?
Skills that share tags, products or a category with Decision Extraction: Project Timeline Report (thedotmack/claude-mem, 97k stars), Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Decision Extraction?
digipulse-engineering (a GitHub organization) maintains it in digipulse-engineering/GAAI-framework, which has 163 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on September 29, 2026.
Source: digipulse-engineering/GAAI-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.